CIB-Quantitative Research Job Description
Cib-quantitative research
provides advanced analytical and statistical proficiency as part of the software engineering, data science capability that resides within the broader ALM function including modeling, research, trading/hedging strategies.
CIB-Quantitative Research Duties & Responsibilities
To write an effective cib-quantitative research job description, begin by listing detailed duties, responsibilities and expectations. We have included cib-quantitative research job description templates that you can modify and use.
Sample responsibilities for this position include:
Develop data aggregations and analysis on historical and real time data visualizations of the data and associated analysis
Development of data aggregations and analysis on historical and real time data, visualizations of the data and associated analysis
Building and implementing analytical and statistical models for trading cash products and portfolios
A strong background as an Options Quant in either
Optimization of collateral and inventory under various constraints arising from risk, regulatory, contractual, capital etc over expected duration
Design and implement new testing and diagnostic tools for identifying and understanding model weaknesses and their impacts
Lead interpretation of test results and remediation work, including communications with stakeholders and coordination or direct implementation of modelling enhancements
Working closely with asset-aligned Quantitative Research groups in order to understand and address product-level pricing limitations
Liaising with technology teams in order to build out risk management systems and run diagnostics tools
Ensuring clear documentation and testing of models and working closely with the Rodel Review Group in order to facilitate model approvals
CIB-Quantitative Research Qualifications
Qualifications for a job description may include education, certification, and experience.
Education for CIB-Quantitative Research
Typically a job would require a certain level of education.
Employers hiring for the cib-quantitative research job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Engineering, Computer Science, Physics, Mathematics, Finance, Statistics, Math, Technical, Sciences, Science
Skills for CIB-Quantitative Research
Desired skills for cib-quantitative research include:
Options pricing theory
Statistical modelling/data science
Stochastic modelling
Trading algorithms
Financial regulations
Spread curves and risky bonds
Curve constructions
Funding
Advanced statistical models and experience with Big Data
Stochastic processes and probability theory
Desired experience for cib-quantitative research includes:
Strong OO designs skills is required, most likely obtained using C++
A postgraduate degree (preferably PhD) in a quantitative field, computer science, mathematics, engineering, physics, or finance
Experience in parallel programming, TBB, OpenMP, CUDA or OpenCL
Degree in math, statistics, econometrics, financial engineering, operational research or computer science
Liaising with Valuation Control and risk groups to understand limitations and risks in existing models and help in setting appropriate reserves and limits
Ph.D or MS in a numerate subject
CIB-Quantitative Research Examples
1
CIB-Quantitative Research Job Description
Job Description Example
Our growing company is looking to fill the role of cib-quantitative research. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for cib-quantitative research
- Explain pricing, risk and pnl predict to traders, controllers and technology team
- This position will require the candidate to work with other experienced modelers and business partners to enhance quantitative business skills
- Preferred experience in managing a team in the past
- Work with modeling teams to develop accurate prototype model implementations
- Work with production implementation team to validate implementation of model revisions
- Work with delivery team to continuously validate production implementation
- Develop valuation and risk management tools
- Provide support of Basel and CCAR PD modeling efforts
- Build risk analytics tools to monitor model performance and risk measures
- Work on allowance for loan and lease losses (ALLL) calculations and reporting, and participate in ALLL model development and implementation
Qualifications for cib-quantitative research
- Strong object oriented design skills are required, most likely obtained using C++
- Familiarity with core Athena frameworks such as reactive, pixie, bob, hydra, reports, cbb, ATD
- The team manages thousands of indices that cover global markets primarily in the fixed income space
- The candidate would also work closely with both internal and external clients to educate them on structural and tactical changes in the index products and the associated implications for the relevant markets resulting from these changes
- Knowledge of quantitative risk modelling
- Applicants should have a good understanding of basic sorting and searching algorithm
2
CIB-Quantitative Research Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of cib-quantitative research. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for cib-quantitative research
- Numerical algorithms ( root finding, optimization )
- Deep understanding of statistical methodology and thinking
- Building PnL Attribution process for SPG products and hedges, integrating into official PnL System
- Studying various borrower behavior with machine learning and regression approaches
- Document model specifications and implementation testing
- Lead forward developments on trading optimization platforms employed by the Equity Finance business to manage SBL, Synthetic and Cash trading activities
- Model trading book dynamics, transaction costs potentially employing Statistical and Machine Learning techniques
- Experience of Linux system, Multi-process Programming
- Develop models and implement them in C++/Python for pricing and risk managing derivatives
- Develop an understanding of analytics flows, development flows and the various components that are used for the groups analytics
Qualifications for cib-quantitative research
- A master’s or Ph.D
- Previous practical experience in solving machine learning problems using open-source packages (such as sklearn)
- Work as a key member of a team responsible for establishing new practices for model risk management
- Knowledge of financial maths and maths modeling
- Affinity with model validation or model governance
- Python or C++ software development with emphasis on numerical methods
3
CIB-Quantitative Research Job Description
Job Description Example
Our company is looking to fill the role of cib-quantitative research. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for cib-quantitative research
- Work on business analysis and product definition and produce documentation as needed
- Help work on developing and planning the teams roadmap and strategy
- Develop end to end plans with the team and help coordinate on those plans with QR’s project management team
- Help execute on projects, getting involved with technical details of the project alongside the team
- Credit risk and/or economical Capital experience
- Econometrics and macro economical risk factors
- Development, deployment and support of algorithms for automated and semi-automated quoting and trading of corporate bonds in our in-house system
- Applying machine learning and statistical analysis to market movements and trade data
- Working with the trading desk to ensure optimal usage of automated strategies and analytical tools
- Communicate effectively with business
Qualifications for cib-quantitative research
- Knowledge of Wholesale Credit Traditional Credit Products, CCAR, Allowance (IFRS 9/CECL), Basel II/III regulatory capital
- PhD or Master’s degree or equivalent from top tier schools/programs in Mathematics, Mathematical Finance, Computer Science, Physics, or Engineering
- Experience in model validation and understanding of model risk
- Experience in handling large amount of panel data, and data cleaning/filtering
- Hands on programming in Python and R
- Prior experience in wholesale credit is strongly preferred
4
CIB-Quantitative Research Job Description
Job Description Example
Our growing company is hiring for a cib-quantitative research. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for cib-quantitative research
- Research, back-testing and reporting on portfolio hedging strategies and ongoing improvements to related infrastructure
- Carrying out market microstructure research and writing white papers
- Technology Refresh, Server Migration and readiness - setting up environment, jobs scheduling, testing & monitoring, firewall rules, users access, software, FIDs, NAS
- Complete compliance breaks, certifications, cyber security issues about the application and infrastructure
- Develop enhancements and fixes in coordination with global quant team
- Maintain and manage application and infrastructure availability with resiliency discipline
- Work on designing, implementing, testing, releasing and supporting the groups analytics library
- Work on the design and implementation of the firm’s next generation stress and risk analytics platform for Wholesale Credit alongside Technology and the Business
- Supporting the existing warrants/option market making business
- Developing option market making, hedging algorithms and associated post-trade analysis
Qualifications for cib-quantitative research
- Previous experience in writing documents for regulatory reviews
- 1-2 years of relevant experience (associate)
- PhD, MS or equivalent degree from top tier schools/programs in Mathematics, Mathematical Finance, Statistics, Physics, Computer Science, or Engineering
- Knowledge and work experience in Rates financial products
- Knowledge and work experience in advanced yield curves construction techniques and methods a plus
- Must have knowledge of database languages (MS SQL/Oracle) and proficiency in programming languages used for analysis and presentation – for example, Visual Basic, Matlab, R, Python that are used to create and analyze quantitative investment strategies
5
CIB-Quantitative Research Job Description
Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of cib-quantitative research. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for cib-quantitative research
- Alpha research and strategy back-testing
- Supporting the trading desks on Value at Risk Models and Flex option/Rates hedging problems
- Work closely with the central risk trading desk to build analytics and processes that optimize trading quantitatively
- The successful candidate will work on the design and implementation state of the art forecast and valuation models in Wholesale Credit
- Explain the results to the lines of business and resolve issues based on business feedback in a timely fashion
- Development, deployment and support of pre-trade analytics in C++ and Python libraries
- End-to-end delivery of real time analytics in our in-house system, Athena
- Research, back-testing and reporting frameworks for market-making and quoting strategies
- Working with the Trading Desk to ensure optimal usage of quoting strategies and analytical tools, to identify and develop business intelligence tools
- Development, deployment and support of production code for both derivative-pricing and market-making models in our in-house systems
Qualifications for cib-quantitative research
- Must know data processing methodologies for signal building and strategy testing
- Must have relevant technical skill and experience to build and customize existing infrastructure for new quantitative models
- Financial markets experience (sell-side, buy-side or investment banking/M&A) preferred, with knowledge of how financial markets work
- Preferred qualifications CFA/FRM
- Building out the Model Reporting framework with new capabilities for calculating and viewing a variety of model risk metrics
- Knowledge of financial derivatives and options theory