Quantitative Researcher Cover Letter

Please consider me for the quantitative researcher opportunity. I am including my resume that lists my qualifications and experience.

Previously, I was responsible for various quantitative support to other departments, including modeling techniques, deep-dive analyses, tools to increase efficiency, special topics on market or credit risk, and others.

Please consider my experience and qualifications for this position:

• Hands on experience with SQL and one of R/Python/Matlab is mandatory
• Strong knowledge of macroeconomic trends and an understanding of the impact on markets
• Coding knowledge essential, with Matlab / Python knowledge an advantage
• Demonstrable experience with modelling options and volatility for Equity, Credit-Equity, and Credit products, with a proven record of research in these fields
• Publications in at least five top academic journals in quantitative finance and related fields
• Significant experience as a lecturer and researcher in top academic institutions including advising/mentoring experience at a research level
• Experience in the creation of cross-sectional credit risk models
• Experience of front office software development in a hedge fund, investment bank, or the financial software industry

I would like to submit my application for the quantitative researcher opening. Please accept this letter and the attached resume.

In the previous role, I was responsible for insight from both the quantitative and business aspects of the modeling underway, steering the quantitative analysts towards the successful completion of the models and lead best practice modeling techniques.

My experience is an excellent fit for the list of requirements in this job:

• Demonstrate a passion for applying mathematics to solve real-world problems
• Show affinity to analytically exploring mathematical ideas
• Mental persistence to analytically explore all logical implications of an idea
• Proven experience with behavioral data analysis, designing surveys and experimental research, and analyzing large datasets using appropriate statistical methods
• Experience with applied statistics/econometrics and R, SPSS, SAS, or Python for statistical analyses
• Understanding of qualitative research methods and/or experience successfully collaborating with qualitative researchers
• Demonstrable experience in portfolio management or investment research within a financial firm or experience in an economics-focused group such as an economics think tank, governmental agency, or sell-side team
• Strong interest in and understanding of financial markets, including drivers of return, sources and measures of risk portfolio construction techniques

I would like to submit my application for the quantitative researcher opening. Please accept this letter and the attached resume.

In the previous role, I was responsible for modeling and analytical support to risk management functions within Enterprise Risk Management and the lines of business, functioning as day-to-day technical expert.

Please consider my experience and qualifications for this position:

• An advanced level of relevant mathematical knowledge statistics, time-series analysis, asset pricing theory, optimization algorithms
• Strong knowledge of relevant database technologies Oracle, MongoDB, KDB/OneTick
• Demonstrable experience managing large datasets
• Intellectually robust with an analytic approach to problem solving
• Craftsman-like attitude to building software
• Familiarity with a variety of programming styles and in-depth knowledge of design patterns
• Strong technical and programming skills, specifically in Matlab, SQL and familiarity with financial datasets across different asset classes
• Expertise in machine learning algorithms (Neural Networks, Trees, Boosting, Ensembles ) and their implementation in one of Python, R or Julia

I submit this application to express my sincere interest in the quantitative researcher position.

Previously, I was responsible for support for regulatory activities, including supporting traditional life asset share models (APL) used for Illustrations Regulation testing (IRT) and disclosures (to ensure compliance with NAIC Illustrations Regulations) and Illustration Actuary certifications.

Please consider my experience and qualifications for this position:

• Experience working with large scale data in multi-method studies
• Experience with survey design and response effects
• MS/PhD, human behavior related field (HCI, Psychology, Social Science, Information Science)
• Experience coding, PHP, SQL and Python
• Understanding and appreciation of qualitative and user-centered design methods
• Experience with a wide range of quantitative methodologies tracking, segmentations, conjoint, MaxDiff, A&U
• Highly motivated with strong quantitative, programming and problem solving skills deep interest in financial modeling
• A major in Finance strong experience in computer programming are preferable

I would like to submit my application for the quantitative researcher opening. Please accept this letter and the attached resume.

In my previous role, I was responsible for thought leadership to partners and decision makers at all levels of the organization, effectively communicating durable insights through writing, presentations and conversations to build consensus and persuade action based on findings.

My experience is an excellent fit for the list of requirements in this job:

• Strong programming skills with a statistical or quantitative language such as Matlab, R, or Julia
• Support to senior members of the team in developing portfolio optimization platform and analytics tools used by portfolio managers and researchers across multiple investment strategies
• Conduct creative, quantitative research and development leading to improved investment performance
• Depending on experience the role will include communicating with portfolio managers and researchers, our internal and external clients, understanding and addressing their portfolio construction and portfolio optimization questions and requests
• A solid software engineering background
• A strong quantitative background, as evidenced by relevant degrees and/or experience
• A passion for data and a keen attention to detail
• Experience conducting empirical research utilizing large, complex data sets