Quantitative Researcher Resume Samples

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DE
D Erdman
Dexter
Erdman
3615 Wolf Inlet
Philadelphia
PA
+1 (555) 703 0615
3615 Wolf Inlet
Philadelphia
PA
Phone
p +1 (555) 703 0615
Experience Experience
Dallas, TX
Quantitative Researcher
Dallas, TX
Halvorson, Greenfelder and Farrell
Dallas, TX
Quantitative Researcher
  • Providing support for the sales and client support team, including training, troubleshooting, researching and resolving issues in a timely manner
  • Presenting findings to a variety of program and policy audiences, including Department leadership, DOC field staff, policymakers, academics, and practitioners across the nation
  • Mathematical modeling of various aspects of asset risk (e.g. underlying risk factors; response and sensitivity to market shocks; calculation of price, return and other statistics; calibration to market data, etc.)
  • Develops presentations for professional audiences
  • Contributes to the production of statistical reports using data collected by NCES that offer timely information on education policy issues to an audience of researchers, educators, legislatures, education agency administrators, and members of the public
  • Working knowledge of Statistical Modeling: Linear regression analysis, non-linear regression analysis, Neural Networks etc…
  • Coding and performing statistical analysis to build and refine models
San Francisco, CA
Quantitative Researcher Equities
San Francisco, CA
Bernier-Harvey
San Francisco, CA
Quantitative Researcher Equities
  • Thrive working both independently and collaboratively within a small team
  • Participation in maintenance and improvement of production and trading environment
  • Improvement of existing strategies and portfolio optimization
  • Highly motivated, willing to take ownership of his/her work
  • Alpha idea generation, backtesting and implementation
  • Effective communicator of research ideas and willing to proactively engage other team members in fostering a strong collaborative team-oriented research environment
  • Be a senior member of the team and help drive and deliver on the team’s growing research agenda
present
Dallas, TX
Quantitative Researcher, Instagram
Dallas, TX
Funk and Sons
present
Dallas, TX
Quantitative Researcher, Instagram
present
  • Work cross-functionally with analytics, business, design, engineering, marketing and product management
  • Work closely with product teams to identify research topics
  • Conduct research using a variety of quantitative methods
  • Communicate results and illustrate suggestions in compelling and creative ways
  • B.A/B.S. in Computer Science, Human Computer Interaction, Experimental Psychology, or a related field
  • Compelling communication
  • Collaborate closely with qualitative researchers
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
Ashford University
Bachelor’s Degree in Statistics
Skills Skills
  • Strong quantitative skills including: linear algebra, probability and statistics
  • Demonstrated ability to present complex ideas and information with detail appropriate to target audiences
  • Strong intellectual curiosity and attentiveness to details
  • Demonstrated ability to conduct high quality empirical research
  • Strong attention to detail
  • Ability to work effectively as part of a team of professionals
  • Ability to meet timetables and deadlines and to effectively prioritize multiple projects
  • Strong knowledge of multivariate statistical analysis and time series analysis
  • Quantitative skill (Statistics, Probability, Optimization, Simulation)
  • Solid analytical skills
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15 Quantitative Researcher resume templates

1

Quantitative Researcher / Portfolio Manager Resume Examples & Samples

  • Common research contributions include: identify and develop systematic drivers of asset returns, incorporate new market insight into our models, identify and react to non-model investment opportunities and risks. The primary focus of this role will be research into forecasting equity returns – country selection, industry selection, and factor/style rotation – although all researchers are expected to contribute new insights for models across the spectrum of macro-oriented investing
  • Routine portfolio management responsibilities include: review of model investment recommendations, evaluate portfolio construction, portfolio rebalancing and trade list generation, analyze exposures & performance, evaluate trading strategies & transactions costs
  • Stay well-informed on market developments to help advise model managers on risks and opportunities as they arise
  • Work collegially within the broader firm to help achieve best practices on a global basis
  • BS degree required with, MS or PhD preferred, in finance, economics, computer science, mathematics or other quantitative field. While graduate experience is preferred, demonstrated relevant experience (3-5 years) is highly desirable
  • Strong programming skills. Experience in Matlab and/or Python highly desirable
  • Can demonstrate creativity and idea generation along with superior quantitative skills
  • A passion for working on data-driven problems and a deep interest in financial markets
  • Shared mindset with regard to a comprehensive set of strategic concepts for guiding the process of - and increasing the profits from - active investment management
  • A team player with strong communication skills who is able to operate credibly and effectively with highly accomplished associates in a collegial, demanding, and high performance environment
  • Readily able to establish professional capability, must be self-assured and energetic
  • Additional experience outside of equities such as fixed income, currencies, or commodities a plus
2

Quantitative Researcher Resume Examples & Samples

  • Work with financial databases to build quantitative signals
  • Program and support various systems for quantitative analytics
  • Design reports for portfolio management teams
  • Conduct quantitative research to improve existing alpha models/strategies
  • Interact with Fundamental Managers/Analysts to contextualize and customize quantitative models and screens
  • Develop / evaluate new alpha and analytical frameworks
  • Conduct quantitative research on portfolio construction to combine quantitative and fundamental views
  • Master’s degree or Ph.D. in quantitative discipline preferred
  • At least 3 years of experience in both quantitative research and portfolio management
  • Strong programming skills in Rand working knowledge of SQL server
  • Experience with Market QA is a plus
  • Working knowledge of Statistical Modeling: Linear regression analysis, non-linear regression analysis, Neural Networks etc…
3

Black Rock Quantitative Researcher, VP Resume Examples & Samples

  • Primary responsibility is to develop alpha generating quantitative investment strategies
  • Design and develop analysis and monitoring tools
  • Identify data sources; design appropriate data models; gather, cleanse, and validate data
  • Knowledge of trading, financial markets and Statistical Arbitrage desirable
  • Relevant experience working with large datasets, quantitative model development, and statistical hypothesis testing
  • Working knowledge of statistics and econometrics
  • Superior analytical and quantitative skills
  • Computer skills: proficiency in computer programming, statistical analysis and numerical techniques. Strong familiarity with MatLab and Excel
4

Quantitative Researcher Resume Examples & Samples

  • At least 1 years of experience in both quantitative research and portfolio management
  • Programming skills in R and working knowledge of SQL server
  • Experience with Market QA or Factset is a plus
  • Working knowledge of statistical modeling
5

Interest Rate Derivative Quantitative Researcher Resume Examples & Samples

  • At least 5 years of market experience in implementing pricing models for interest rate derivatives
  • Strong derivatives pricing knowledge
  • Strong knowledge of stochastic calculus and numerical methods
  • Experience with Matlab or Python and C++ programming
6

Quantitative Researcher Resume Examples & Samples

  • Building, back-testing and maintaining Wilshire’s proprietary financial models (risk, optimization, derivatives valuation, and other)
  • Writing original quantitative research to promote Wilshire Analytics’ thought-leadership
  • Communicating complex quantitative concepts to clients and third parties
  • Providing support for the sales and client support team, including training, troubleshooting, researching and resolving issues in a timely manner
  • Minimum of a master's degree in financial engineering, applied mathematics, statistics, engineering, physics, or other quantitative fields required
  • Professional experience preferred (depending upon degree level)
  • Experience with MatLab, Excel and VBA, and C/C++
  • Ability to work effectively as part of a team of professionals
7

SAE Quantitative Researcher Resume Examples & Samples

  • Identify new active equity ideas, especially ideas orthogonal to those we use in existing BlackRock products
  • Rigorously research new ideas to determine their investment value in principle, and their commercial value to BlackRock
  • Seek out new sources of data to support this effort
  • Work with a small, entrepreneurial team looking to quickly develop new products
  • Communicate with other active equity researchers, to help Active Equity broadly achieve best practices
  • Excellent quantitative skills, as evidenced by formal training in econometrics or statistics, and extensive experience in utilizing those skills in a research environment
  • A strong understanding of equity markets, including drivers of return, risk control and portfolio construction techniques
  • Strong academic training, e.g. graduate degree in finance, economics, or hard science
  • Effective communication skills, both written and verbal. The successful candidate must have the confidence and credibility to persuasively interact with colleagues, management, and clients
  • Strong understanding of computer technology in financial research, with strong programming skills
  • Strong understanding of data available in the equity segment of the investment management industry, ability to ferret out relevant data, and ability to construct databases that are useful for validating research results
8

Quantitative Researcher, Intern Resume Examples & Samples

  • Develop and improve methods for measuring the causal impact of Facebook & Instagram advertising
  • Establish measurement approaches to assess relative performance of advertising strategies within Facebook and across marketing channels
  • Assess potential opportunities and execute world-class research
9

Advertising Quantitative Researcher Resume Examples & Samples

  • Design and run world-class quantitative research studies both in-house and through third party research firms
  • Assess the potential usefulness, validity, and rigor of new data sources or approaches and capabilities of potential partners
  • Work with industry research partners around joint studies and white papers
  • Help determine the strategy for global advertising research on Instagram
10

Quantitative Researcher, Instagram Resume Examples & Samples

  • Design research studies that drive tactical and strategic product decisions
  • Conduct research using a variety of quantitative methods
  • Work cross-functionally with analytics, business, design, engineering, marketing and product management
11

Quantitative Researcher Resume Examples & Samples

  • 1) General
  • 3) Policy
  • Quantitative skill (Statistics, Probability, Optimization, Simulation)
  • Working experience of programming in object oriented languages such as Python/C++/JAVA
  • Technical writing skills
  • 5) Management Responsibilities
  • 5 to 10 years experience in the development and implementation of quantitative strategy
  • MS or higher degree in a relevant quantitative discipline such as mathematics, physics, financial engineering, and statistics
12

Quantitative Researcher Resume Examples & Samples

  • Data analysis and strategy development in US & global equity markets
  • Potential areas of work include risk management, portfolio construction, quantitative signal development, and transaction cost analysis
  • Strong training in a quantitative scientific field that uses computational data analysis (e.g., computer science, stats, applied math, physics, engineering, economics/econometrics, chemistry/biology)
  • Graduate work in a data and/or computationally intensive area or a certificate in computational finance
  • Extensive coding experience
  • Extensive programming experience including but not limited to R, SQL, C++, Matlab
  • Experience with large data sets
  • Experience with trading, money management, finance, or general business
  • Has had work published and/or presented at conferences
  • Personal projects related to trading
13

Quantitative Researcher Resume Examples & Samples

  • Perform ad hoc analysis for portfolio management and strategy groups
  • Provide quantitative support for other researchers
  • Advanced degree in Computer Science, Engineering, Physics, Mathematics, Economics, Finance, or other quantitative discipline
  • Commodity or macroeconomic experience a strong plus
  • Creativity and out of the box thinking
  • Computer skills: proficiency in computer programming, statistical analysis and numerical techniques. Strong familiarity with MatLab and Excel. Knowledge of Python is a plus
  • Demonstrated ability to design and implement robust numerical algorithms
  • Excellent teamwork, relationship building, and communication skills, including ability to distil complex concepts into a form understood by a broader audience and to work in a fast paced environment
14

CIB Equity Quantitative Researcher Resume Examples & Samples

  • Strong written and verbal communication skills (report writing skills are a plus)
  • Programming skills including: C / C++ / VBA / Matlab (preferred) / R / SQL (preferred)
  • Client focused attitude
  • 2+ years of experience in sell-side research or buy-side
15

Quantitative Researcher Resume Examples & Samples

  • Communicating insights and analysis results to key stakeholders
  • Keeping abreast of industry and academic research and identify new research ideas
  • Formulate a plan to break down a high level directive or a project in to its constituent parts. Be able to use the scientific process to articulate an analysis plan
  • Collect, filter, and verify data required for research, for example, fundamental financial valuation, factor exposures, expected risks, benchmark & portfolio weights, etc
  • Write code in MATLAB to analyze and extract insights from data that can be stringed together to form a coherent story about why an investment decision, action, or policy is optimal / sub-optimal
  • Interpret and analyze the analysis results with a critical mind considering all possible reasons for why the conclusions of the analysis may be flawed or incorrect (biases in data, incorrect assumptions, mishandling of data, treatment of outliers and missing data, etc.)
  • Communicate the results or insights extracted from an analysis project as well as be able to defend why the analysis approach/results make sense and what the associated tradeoffs are
  • Bachelor’s or Master’s degree (preferred) in a quantitative discipline like Statistics, Applied Math, Computer Science, or Engineering from a top-tier institution (such as an IIT) with an MBA from an equally prestigious institution (for example, IIM)
  • Out of the box thinkers with proven track record of exceptional performance & relevant work experience graduating from other institutions will also be considered
  • Ideal candidate has 3-5 years of experience in a quantitative investment management firm, asset manager, or index provider doing quantitative research and/or product back-testing
  • Understanding of quantitative investment process / factor investing highly desirable
  • Familiarity with FactSet, Barra or Axioma would be a strong plus
  • Strong understanding of equity markets, including drivers of return, risk control, and portfolio construction techniques desirable
  • Experience with machine learning (in particular linear regression), statistical hypothesis testing, and data mining methods is a strong plus
  • Strong understanding of object-oriented programming and programming proficiency in Python, R or MATLAB, and SQL are essential
  • Excellent quantitative skills, as evidenced by formal training in Applied Math, Computer Science, Engineering or Statistics, and significant experience in utilizing those skills in a research environment
  • Effective communication skills, both written and verbal. The successful candidate must have the confidence and credibility to persuasively interact with colleagues
  • Ability to work independently or as a part of a team, and to lead a research project from whiteboard to code implementation
  • Well organized and self-motivated
  • Creativity, enthusiasm, and the ability to excel in an entrepreneurial environment
16

Quantitative Researcher, Growth Resume Examples & Samples

  • Help shape the research agenda and drive research projects from end-to-end
  • Collaborate with product teams to define relevant questions about user growth and engagement
  • Deploy appropriate quantitative methodologies to answer those questions
  • Develop novel approaches where traditional methods won’t do
  • Collaborate with qualitative researchers as needed and iterate quickly to generate usable insights for product and business decisions
  • Deliver insights and recommendations clearly to relevant audiences
  • Ability to ask, as well as answer, meaningful and impactful questions
  • Ability to communicate complex analyses and results to any audience
  • Experience with Unix, Python, and large datasets (> 1TB) a plus
  • Master’s or Ph.D. in the social sciences (e.g., Psychology, Communication, Sociology, Political Science, Economics), OR in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions
  • Fluency in data manipulation and analysis (R/SAS/Stata, SQL/Hive)
  • Expertise in quantitative research methodologies (e.g., survey sampling and design, significance testing, regression modeling, experimental design, behavioral data analysis)
17

Applied Research Department Quantitative Researcher Resume Examples & Samples

  • Building, back-testing and maintaining Wilshire’s proprietary financial models (risk, yield curve, derivatives valuation, and other)
  • Providing support for the sales and client support teams, including training, troubleshooting, researching and resolving issues in a timely manner
  • Advanced degree (PhD) in mathematical finance, applied mathematics, statistics, engineering, physics, or other quantitative fields preferred
  • Strong knowledge of multivariate statistical analysis and time series analysis
  • Proven outstanding quantitative and analytical aptitude
  • Knowledge of, or strong interest in, portfolio management techniques, risk management models, and cross asset portfolios analytics (fixed income markets, interest rate derivatives, equity, FX, commodities, etc.)
  • Good communications skills, problem-solving abilities, and computer skills
  • Ability to work independently to investigate and resolve issues, perform analysis, document results
18

Quantitative Researcher for Electronic Market Making Resume Examples & Samples

  • Masters/PhDs in quantitative disciplines preferred
  • Relevant work experience in market impact analysis
  • Good programming skill
  • Able to work with large data sets
19

Quantitative Researcher Resume Examples & Samples

  • Assess the validity and rigor of new data sources and approaches in their use toward applied research audience insights
  • 2+ years in a quantitative field, such as consulting, market research, or advanced Degree in Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field
  • Experience in applied research with focus areas such as media consumption, consumer behavior or marketing effectiveness preferred but not required
  • A thorough understanding of applied statistics including sampling approaches, experiments, causal modeling, and data mining techniques
  • Experience building analytical models and working with large structured and unstructured data sets
  • Experience in working with advertising technology platforms preferred but not required (e.g. DoubleClick, Atlas, etc..)
  • Fluency in the languages of data manipulation (e.g., SQL) and statistical analysis (R or Python), with ability to code (e.g., PHP) a plus
  • Programming skills, suitable for developing scalable research prototypes within a Hive and Linux environment
  • Ability to communicate complex analysis and results to any audience
20

Quantitative Researcher, Adtech Resume Examples & Samples

  • Drive technical development of cross-publisher measurement initiatives with our Engineering and Analytics colleagues
  • Establish scalable frameworks to assess relative performance of advertising strategies within Facebook and across marketing channels
  • Help shape long-term product roadmaps with a balance of technical and strategic considerations
21

Quantitative Researcher, Agency Resume Examples & Samples

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to measure and communicate the effectiveness of online advertising
  • Proactive creation of custom advertising research driven to show value, insights, or missed opportunities
  • Oversee data-focused initiatives already in place and being developed, and drive developments in the quality of these initiatives
  • Partner closely with advertisers, agencies and other internal teams for joint project collaboration
22

Quantitative Researcher Resume Examples & Samples

  • MS or PhD in finance, computer science, mathematics, or other quantitative discipline. Alternatively, a background in finance or economics combined with equivalent work experience in a data science field
  • Strong quantitative background; 5+ years doing hands-on experience in research, data science and/or predictive modeling
  • Fluency with equity risk models and their applications a major plus; some candidates may have past experience with tools such as Barra, Axioma, Northfield, etc
  • Unafraid to share new ideas (especially the bad ones), help others, and work in a small team
  • Independent thinker with strong problem solving skills
  • High-level programming language skills are required (Python or R – Python preferred); SQL a major plus
  • Attention to detail – takes ownership of projects, strong focus on quality, correctness, and intuitiveness of output
  • Exceptionally motivated, hard-working, and a self-starter combined with the highest integrity and character
23

Quantitative Researcher, SMB Resume Examples & Samples

  • Design and execute custom research to support the objectives of various SMB teams, including sales, marketing, and service
  • Understand KPI’s of different SMB tiers and influence tier strategies through qualitative and quantitative research
  • Represent the voice of SMB advertisers to internal teams — e.g. What help/support do advertisers want from us? How do advertisers feel about existing programs?
  • Develop insights (qualitative/quantitative) using a variety of internal and external sources
  • Work closely with SMB teams to identify and scope research topics
  • Design studies that address both advertiser behaviors and attitudes
  • Employ creative and innovative research methods to understand advertiser needs
  • Package these insights effectively and deliver them to SMB tiers and leadership team
24

Quantitative Researcher Resume Examples & Samples

  • Bachelor's, Master's, or PhD degree (or candidate) from top program in Finance, other investment-related, quantitative, or technical discipline
  • Experience with equity research preferred, but not required
  • Independent thinker with good economic intuition and strong record of original research
  • Excellent quantitative skills from formal training in econometrics or statistics, and extensive experience in utilizing those skills in empirical research
25

Quantitative Researcher Resume Examples & Samples

  • Assist in running AHL's equity sector products (cash equities and equity futures) smoothly in collaboration with Operations and Trading. Be a systems and implementation expert in collaboration with other technically minded team members
  • Market specialist for the equity sector; Follow markets and their impact on the trading model (performance reviews): propose appropriate model diagnostics: feedback observations into research
  • Research, develop and implement sector specific research and strategies trading in the Equities sector
  • Contribute to AHL's overall research effort by collaborating with other teams across AHL
  • Follow industry/academic literature for innovations in equities strategies (and more generally) and suggest how AHL can profit from this
26

Quantitative Researcher Resume Examples & Samples

  • MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
  • Strong analytical and quantitative skills
  • Demonstrated ability to conduct independent research utilizing large data sets
  • Prior experience developing, researching, or implementing quantitative models for equities, futures, and/or FX, either at a firm or independently
  • Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
  • Willing to take ownership of his/her work, working both independently and within a small team
27

Quantitative Researcher Resume Examples & Samples

  • Developing trading strategies, from idea generation and data collection to analysis and model creation
  • Applying quantitative techniques and market intuition to large, often novel or unconventional, datasets
  • Advancing existing initiatives and opening opportunities to pursue previously unexplored research topics
28

Quantitative Researcher Resume Examples & Samples

  • PhD in quantitative disciplines
  • Expertise in statistics and machine learning
  • Intermediate programming skills in Java, C++, or Python
  • Financial experience is not a requirement
  • Strong publication record
  • Experience working on practical applications using real-world datasets
29

Quantitative Researcher Resume Examples & Samples

  • An advanced degree in economics, finance, financial engineering, mathematics, operations research, physics, statistics, or another quantitative discipline
  • Programming, linear algebra, and statistics expertise
  • Experience researching and implementing quantitative models
  • Time management skills including the ability to handle multiple projects
30

Quantitative Researcher Resume Examples & Samples

  • Conducting advanced in-depth data analyses, producing reports and fact sheets on a variety of topics of interest to DOC operations and mission (including correctional population trends, health services, and offender change, to name a few), and mentoring and consulting with research and data management analysts to assist with these efforts
  • Working with Department leadership to prioritize research needs and facilitating partnerships to meet those needs through grant opportunities, data share agreements, and other research collaborations
  • Informing the development of analytical databases and datasets for internal and external use
  • Presenting findings to a variety of program and policy audiences, including Department leadership, DOC field staff, policymakers, academics, and practitioners across the nation
  • Providing consultation and senior-level analytical support to the Performance Management Unit responsible for Results Washington and Results DOC
  • A Ph.D. in Criminal Justice, or other Social/Behavioral Science from an accredited college or university whose accreditation is recognized by the U.S. Department of Education or the Council for Higher Education Accreditation (CHEA). (See Note 1 below)
  • A minimum of two (2) years of experience conducting policy-relevant data analysis in a public sector setting
  • A minimum of two (2) years of experience supervising employees
  • A minimum of three (3) years of experience managing programs and projects
  • Expertise in SAS, SPSS, or other advanced statistical analysis software
  • Advanced training in multivariate quantitative statistical methods
  • Demonstrated ability to define measurable problems/research questions, analyze information, formulate logical and objective conclusions, and translate findings to policy recommendations and presentations for a variety of audiences
  • Excellent interpersonal, verbal, and written communication, and public speaking skills
  • Demonstrated ability to present complex ideas and information with detail appropriate to target audiences
  • Demonstrated ability to coach and mentor staff members in research methods and analyses, fostering an environment of supportive learning
  • Demonstrated ability to work collaboratively with external stakeholders and internal staff at all levels across the Department, including leadership
  • Demonstrated strong organizational and project management skills
  • Demonstrated ability to multi-task and work effectively and efficiently in a dynamic environment
  • Prior experience with corrections and correctional research
  • Authorship of at least three (3) published reports or peer-reviewed articles detailing policy-relevant research findings based on sophisticated designs
31

Quantitative Researcher Systematic Options Resume Examples & Samples

  • Design, backtest, and implement predictive models for the direction and volatility of liquid futures, FX, and ETFs
  • Design, backtest, and implement algorithms for optimal portfolio construction across options and delta one products
  • Computing Implied Volatility surfaces
  • Risk Modeling (including option Greeks)
  • Liquidity and transaction cost modeling
  • Evaluate new datasets for alpha potential
  • Contribute to the continuous improvement of the investment process and the team’s research and trading infrastructure
  • MS or PhD in computer science, statistics, applied mathematics, engineering, or other quantitative discipline
  • Minimum of 2 (ideally 5+) years of work experience as a quantitative researcher for a systematic options trading (volatility arb) business or automated options market maker
  • Broad statistical toolkit including machine learning, econometrics, large-scale simulation
  • Experience with multiple asset classes (FX, fixed income, commodities, equity indices and options on each of these) a plus
  • Keen intuition for markets and their pricing mechanisms
  • Highly motivated, willing to take ownership of his/her work
32

Point Quantitative Researcher Resume Examples & Samples

  • Full lifecycle alpha research, including idea generation, backtesting and implementation
  • Minimum of 3 years of work experience as a quantitative researcher in a mid-frequency or high-frequency team (holding period below 1 month) trading equities, with hands on experience developing, researching or implementing profitable quantitative equities models
  • Demonstrated ability to conduct independent research utilizing large data sets, including both technical and fundamental data sets. Hands on experiences with traditional quant data sources/vendors (e.g., QAI, Bloomberg, Reuters, FactSet, IBES, Compustat, Worldscope, Datascope) required
  • Experience with large-scale portfolio optimization and multi-period optimization a plus
  • Highly motivated, willing to take ownership of his/her work, drive to solve problems and work effective under pressure
33

Point Quantitative Researcher Big Data Resume Examples & Samples

  • Conduct quantitative alpha research, focusing on, but not limited to, applying advanced statistical learning methods to diverse financial data sets in order to build robust models for forecasting stock risk and returns
  • Build efficient tools and scalable systems for the team to allow easy adoption of common machine learnings techniques by other researchers in their own research projects
  • Alpha idea generation, backtesting and implementation
  • Evaluating new datasets for alpha potential
  • MS, PhD or PhD candidates in machine learning, statistics, mathematics, computer science, or other quantitative disciplines; PhD preferred
  • Extensive academic and/or professional experiences in advanced machine learning and data mining required
  • Minimum of 3 years of work experience developing and applying machine learning methodology for solving complex problems; candidates with financial industry experiences, especially those in a buy-side asset management firm, strongly preferred; Ideal candidate would have 3+ years of experience building financial forecasting models using machine learning algorithms
  • Must have strong programming skills in multiple languages such as Matlab, Java, Python, C/C++, SQL and R; capable of writing well-structured robust code for both research and production
  • Experience with natural language processing techniques a strong plus
  • Extremely organized and detail-oriented, with effective multitasking and prioritization skills
  • Thrive working both independently and collaboratively within a team
  • Excellent written and verbal communication skills, willing to proactively engage other team members in fostering a strong collaborative team-oriented research environment
34

Senior Quantitative Researcher Resume Examples & Samples

  • Investigate the properties of Invesco’s order flows by developing new and rigorous transaction cost analysis
  • Bring new insights on the properties of trading algorithms and their optimal usage
  • Partner with various investment teams in order to better understand the nature of their market impact and its implications on their portfolios
  • Help identify areas of trading operation improvements
  • Analyze algorithmic trading data and create models to improve existing strategies
  • Build and help automate various TCA reports
  • Minimum 5 years of experience in TCA and/or Algorithmic Trading research role at a reputable buy-side firm, hedge fund or top tier investment bank
  • Good knowledge of broad quantitative finance concepts and methodologies
  • Hands on experience with SQL and one of R/Python/Matlab is mandatory. Object Oriented Programming experience a plus (C++, Java, C#)
  • Experience leading/managing small dynamic teams
  • Team player, open minded, used to collaborative work environment
  • Pragmatic mind with a preference for hands on work over purely theoretical development
  • Ability to conduct complex analysis and present data in a meaningful way
  • Strong organizational skills and detail oriented
35

Quantitative Researcher, R&D Resume Examples & Samples

  • Master’s or PhD in a quantitative field such as Computer Science, Engineering, Statistics, Economics or Political Methodology
  • 2+ years of hands-on research experience with empirical problems in the social or biomedical sciences, or in the Internet industry
  • Experience with SQL, R and at least one of the following: PHP, JavaScript or Python
  • Experience using machine learning with (GB/TB) datasets
  • Experience with causal inference, including leveraging observational data and addressing challenges from missing data
  • Analytical and research design skills
36

Quantitative Researcher Intern Resume Examples & Samples

  • Identify features and relationships useful for the predictive modeling of market dynamics
  • Third year or beyond in top-tier PhD program in computer science or statistics
  • Minimum of 3 years Python experience in the context of ML/statistical computing
  • Strong proficiency in highly parallelized computing
  • Broad theoretical and applied knowledge of ML/statistical techniques; especially the application of regression, classification, and dimension reduction to time series data
  • Proven ability to conduct research utilizing very large data (e.g. 100s of GB, terabytes)
  • Clear, concise, and proactive communicator
37

Assoc Quantitative Researcher Resume Examples & Samples

  • Work closely with other team members to create new and support existing strategies by
  • Identifying new investment ideas or innovative data sources
  • Gathering and refining complex data for modeling
  • Coding and performing statistical analysis to build and refine models
  • Interpreting, presenting, and implementing the results
  • Conduct research on various implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction
  • Experience with equity research preferred
  • Strong programming skills analyzing large and complex data with statistical tools (e.g. Python, R, SAS)
  • Ability to communicate complex ideas clearly
  • Passionate about investing, hard-working, self-motivated with strong attention to detail. Eager to learn in a highly intellectual, collaborative environment
38

Quantitative Researcher Resume Examples & Samples

  • Proven ability to conduct alpha research (direction and/or volatility) utilizing large data sets
  • Experience with large-scale portfolio optimization, multi-period optimization, and relevant software libraries and packages
  • Strong programming skills in languages such as Python, C++, Java, Matlab, and SQL
  • Experience with multiple asset classes (FX, fixed income, commodities, equity indices and options on each of these)
39

Quantitative Researcher / Trader Resume Examples & Samples

  • Master's Degree in relevant course of study
  • Analytical and problem-solving mindset and
  • Demonstrated computer application development skills (C/C++/C# in Visual Studio)
  • Capital markets exposure and understanding of derivatives
  • Ability to work in fast-paced environment while eliminating operational risk
40

Quantitative Researcher Resume Examples & Samples

  • 4+ years of experience in systematic equities trading, global equities, market neutral, and intermediate to long term space
  • Advanced programming experience in languages suited for quantitative modeling
  • Equities knowledge
  • Equities Arbitrage experience
41

Quantitative Researcher, ASO, Paris Resume Examples & Samples

  • Ensure the link between academic research and trading
  • Develop alphas signals for equity & futures market making business
  • Bring orthogonal and innovative solutions both in terms of research technics and IT framework
42

Quantitative Researcher Resume Examples & Samples

  • The primary responsibility is to conduct research and prototype development of risk models which help our clients to fulfill their regulatory obligations
  • Empirical investigation of market, credit and liquidity risk of financial instruments and their derivatives
  • Working with other teams such as Data, Analytical Quality Assurance and Development to test and advance methodologies
  • Managing client calls on specific requests, and commercial proposals (with sales)
  • Ph.D. or advanced degree in finance, physics, mathematics, statistics, operations research, economics or another quantitative discipline
  • We welcome candidates with different backgrounds and we prefer skills and motivation over titles and work experience
  • We do consider PhD holders with no financial industry experience if they spent a couple of years as a post-doc or research fellow (whether within or outside academia)
  • For non-PhDs, we expect at least 1-2 years of relevant work experience
  • Good written and spoken English language skill is mandatory
  • Experience in designing, implementing and testing quantitative models
  • Deep interest in empirical research
  • Critical thinking, curiosity and excellent communication skills
43

Quantitative Researcher Resume Examples & Samples

  • 2+ years of Quantitative experience
  • Hands-on experience in the full life-cycle Strategy Development Research, including: idea generation; data collection / cleansing; exploratory analysis; backtesting; and, deployment
  • Exposure to / involvement with strategy implementation/execution, monitoring, and risk management
  • Sound understanding of mathematics, probability, and statistics and exposure to financial mathematics and econometrics concepts
  • Proficiency in Python, R, Matlab, or other Data Analysis packages
  • 4+ years of related work experience
44

Quantitative Researcher Equities Resume Examples & Samples

  • Be a senior member of the team and help drive and deliver on the team’s growing research agenda
  • Improvement of existing strategies and portfolio optimization
  • Participation in maintenance and improvement of production and trading environment
  • MS, PhD or PhD candidates in mathematics, statistics, quantitative finance, physics, computer science, or other quantitative discipline
  • Minimum of 3 years of work experience as a quantitative researcher in a mid-frequency or high-frequency team (holding period below 1 month) trading equities, with hands on experience developing, researching or implementing quantitative equities models. Ideal candidate may have 5 years or more of experience
  • Possesses good intuition for conducting empirical financial research and strong analytical, econometrics and quantitative skills
  • Demonstrated ability to conduct independent research utilizing large data sets, including, but not limited to, intraday tick data
  • Experience in intraday alpha signal research a strong plus
  • Experience with large-scale portfolio optimization and multi-period optimization a strong plus
  • Must have strong programming skills in multiple languages such as Matlab, Java, Python, C++ and SQL
  • Thrive working both independently and collaboratively within a small team
  • Effective communicator of research ideas and willing to proactively engage other team members in fostering a strong collaborative team-oriented research environment
45

Data Analyst / Quantitative Researcher Resume Examples & Samples

  • Design data analysis program and develop tailored analytic plans to meet business needs
  • Clean data, conduct analysis, and assess results
  • Identify new opportunities to apply statistics to research program
  • Communicate results and recommendations to management and stakeholders
  • Experience with broad suite of statistical methods, including logistic regression, factor analysis, clustering techniques, design of experiment, and others
  • Experience cleaning and maintaining complex datasets
  • Ability to communicate clearly and concisely
  • BS in Statistics, Economics, Mathematics, physical or life sciences, or similar quantitative field of study
  • Working knowledge of SPSS, R, or similar statistical programming package
46

CIB Risk-quantitative Researcher Resume Examples & Samples

  • Familiarity with application of Machine Learning techniques in either an academic or industrial context; experience in application of these techniques to finance is a plus
  • Knowledgeable in leading edge technologies and commercial sources of “Big Data”. Exceptional software design and development skills across a range of programming languages. Knowledge of ML libraries such as sklearn / TensorFlow
  • Self-motivated, detail-oriented and proactive; able to take ownership of projects from start to finish. Ability to project a vision and push/sponsor/advertise solutions internally
47

Intern, Quantitative Researcher Resume Examples & Samples

  • Work directly with a senior Quantitative Portfolio Manager
  • Work on cutting edge data analytics projects
  • Get insights into actual trading strategy tools
  • Work on deliverable projects
  • Some experience in programming (ideally in python. C++ is a plus but not necessary)
  • Experience of working with complex and large datasets
  • Experience of finance is not necessary but can be a plus
  • Strong desire to work collaboratively with the team
  • High standard of professionalism in all dealings with internal staff and any external partners, clients and regulatory agencies
  • Problem solving skills and ability to identify and implement appropriate solutions
  • Result driven attitude and ability to work under pressure
  • Ability to prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline
  • Outstanding attention to detail and strong organization skills
48

CIB Risk-quantitative Researcher Resume Examples & Samples

  • Focus on functional and numerical testing through the entire development cycle to produce reliable and maintainable software
  • Mathematical finance and working knowledge of equities products pricing
  • Working knowledge of data analysis/statistics/time series modelling, machine learning is a plus
49

Quantitative Researcher Resume Examples & Samples

  • Advanced degree (Master or PhD) in finance, physics, mathematics, statistics, operations research, economics or another quantitative discipline
  • Strong quantitative skills including: linear algebra, probability and statistics
  • Programming skills: object oriented programming, C++, Matlab, Python
  • Quantitative finance such as theory of asset pricing, fixed income analytics, credit risk models, volatility models, payoff description languages, portfolio risk models (VaR, stress testing)
  • Numerical methods such as Monte Carlo simulation, trees and finite difference methods
  • Programming skills: Python, SQL
50

Quantitative Researcher, R&D Resume Examples & Samples

  • Identify specific opportunities to leverage new data sources or systems to improve ads delivery or measurement for marketers
  • Build cross functional relationships with Product, Analytics and Engineering to shape long-term product roadmaps with a balance of technical rigor and strategic considerations
  • Experience with R and at least one of the following: PHP, JavaScript or Python
  • Experience using machine learning or non-parametric modeling techniques with large (GB/TB) datasets
51

Quantitative Researcher & Programmer Resume Examples & Samples

  • Demonstrated advanced computer programming skills (Python, R, C)
  • Broad knowledge of machine learning, data engineering, data mining algorithms (decision trees, HMMs, probability networks, association rules, clustering, and neural networks)
  • Creativity and intellectual curiosity
  • Pro-active ability to work independently as a self-starter
  • BA/BS in Computer Science or related technical field or equivalent practical experience
  • 5 years of work experience in machine learning or experience in data analysis and processing
  • Experience building systematic trading models, either professionally or for fun
  • Direct experience modeling or trading options or volatility derivatives
  • MS/PhD in Computer Science with a focus on Machine Learning or Data Processing
  • Demonstrated passion for designing trading strategies
52

Quantitative Researcher Resume Examples & Samples

  • Bachelor’s or advanced degree from a top university in a highly quantitative subject such as Computer Science, Engineering, Physics, Statistics, or Mathematics
  • Experience in Java, C/C++, Perl, and/or Python
  • Exceptional quantitative as well as programming skills
  • Familiarity with various analytical packages (Mathematica, Matlab, Pylab, or R)
  • Motivation and resourcefulness in quickly solving hard problems through the creative application of technology
  • While we analyze the data-rich domain of finance, financial experience is not a requirement
53

Quantitative Researcher Resume Examples & Samples

  • Particpates in NAEP (National Assessment of Educational Progress) research study design, analysis, quality control, and report writing activities
  • Contributes to the production of statistical reports using data collected by NCES that offer timely information on education policy issues to an audience of researchers, educators, legislatures, education agency administrators, and members of the public
  • Contributes to the identification of new topics for statistical reports based on literature searches and current policy topics
  • Does quick-turnaround special analyses as needed
  • Prepares and/or reviews data tables and figures
  • Develops presentations for professional audiences
  • Reviews data files and data documentation
  • Reviews statistical reports and technical documents
54

Quantitative Researcher Resume Examples & Samples

  • Mathematical modeling of various aspects of asset risk (e.g. underlying risk factors; response and sensitivity to market shocks; calculation of price, return and other statistics; calibration to market data, etc.)
  • Detailed documentation and implementation of such models in C++
  • Close cooperation with our data, QA, validation, product management or client coverage teams as required
  • Investigation of modeling issues raised internally or by clients
  • Experience in any area of quantitative finance such as theory of asset pricing, fixed income analytics, credit risk models, volatility models, payoff description languages, portfolio risk models (VaR, stress testing)
  • Background in finance or experience in the financial services industry is desirable but not essential
  • Numerical methods such as Monte Carlo simulation, binomial / trinomial trees and finite difference methods
  • Strong mathematical skills including: linear algebra, probability and statistics
  • Programming skills: object oriented programming, C++, Matlab
  • Additional programming languages: Python, SQL
  • Highly motivated with strong quantitative, programming and problem solving skills as well as deep interest in financial modeling
  • Critical thinking, curiosity and excellent communication skills are essential
  • Good time management skills, ability to handle multiple projects parallel
55

Quantitative Researcher Resume Examples & Samples

  • MSc or PhD with a background in econometrics, statistics, signal processing, or similar
  • 4-10 years of related experience
  • Familiarity with quantitative research [e.g., stock selection, cross-asset quantitative strategies, portfolio optimization, alpha modeling]
  • Strong programming skills
56

Senior Quantitative Researcher for Equity Derivatives Resume Examples & Samples

  • Develop and maintain the whole technical framework enabling Equity Derivatives to deliver the IPV (Independent Price Verification). This requires strong financial, mathematical and computational skills, as well as a certain hindsight regarding quantitative tools applied to equities. It also requires good communication skills, in order to interact efficiently with teams located upstream and downstream in that framework
  • Maintain and enhance our quantitative models production framework. This implies strong model expertise, dexterity in various computational languages as well as a good knowledge of the entire production framework
  • Maintain and enhance our pricing engines. This includes support of our internal clients –trading, structuring and sales - as well as development of new features, code optimisation, and various architectural improvements
  • Master or PhD degree in Mathematics and Statistics
  • A major in Finance as well as strong experience in computer programming are preferable
  • Fluency in English is mandatory
  • Deep knowledge of financial mathematics and statistics, stochastic calculus
  • Experience with common programming languages, compiled (Ada, C, C++, C#, Java) or scripts (Python, VBA, JavaScript, or equivalent)
  • Excellent Team Player
  • Ability to work well under pressure
  • Knowledge of Equity Derivatives