Quantitative Analyst I, Stress Testing Modeling and Analysis
This Quantitative Analyst role in the Stress Testing section in Supervision and Regulation will support the quantitative stress tests of bank portfolios related to the Federal Reserve’s responsibilities under the Dodd-Frank Act and ongoing bank supervision. The analyst will be assigned to perform the following duties:
• Research, modify, test, and document models and systems used in the stress test
• Execute stress test models and conduct analysis of model outputs to better inform ongoing bank supervision; and/or
• Assess and analyze regulatory collection and other data used in the stress test.
Principal Duties and Responsibilities
Quantitative Analysts perform the following responsibilities under regular supervision:
1. Perform quantitative analysis including statistical modeling and data analysis in support of FRB mission, Division
goals, and Section objectives.
2. Assist senior staff by providing support, information or analysis.
3. Prepare and deliver clear, accurate and concise communication orally and in writing.
4. Share information and ideas regarding projects and work for Section/Project Teams/Division or external
5. Perform assigned project tasks and lead well-defined tasks within a project.
6. Develop areas of expertise and technical skills.
7. Statistical Modeling:
- Exhibit a strong understanding of statistical modeling techniques
- Carry out a variety of aspects of the model life cycle including design, implementation, testing, production, validation, and assessment of models
- Analyze and interpret results from models or a system of models
- Document model features, assumptions, operational processes, and results
8. Data Analysis:
- Implement efforts related to data analytics
- Perform data extraction, cleaning, and organization
- Produce charts, graphs, and other visualization techniques to analyze data
- Identify relevant issues, trends, relationships between key variables, and draw conclusions
9. Quantitative Implementation:
- Implement processes for scaling and automating modeling and production frameworks
- Manage, construct, and query data sets
- Follow systems and guidelines for ensuring reproducibility of model results and analysis
10. Financial Analysis:
- Exhibit domain-specific knowledge to inform data-driven policy decisions
- Conduct research related to the financial sector, institutions, and regulation
- Respond to requests from senior management related to data, model results, operational processes, policy, and emerging risks in financial institutions and markets
11. Knowledge sharing and training of others:
- Present work at forums within and across Divisions to share knowledge with others
Quantitative Analysts work under regular supervision to perform quantitative analysis including statistical modeling and data analysis in support of the Board's mission, Division goals, and Section objectives. Quantitative Analysts perform assigned project tasks while developing increased domain expertise and may lead well-defined tasks within a project. Quantitative Analysts share information and ideas regarding projects and work for their Project Team, Section, Division. Quantitative Analysts prepare and deliver communications including presentations and recommendations to others in the Section/Division and/or to external stakeholders.
Completed Bachelor's degree in quantitative subject such as computer science, statistics, mathematics, physics, engineering, finance, economics or relevant quantitative background and a minimum of 2 years of related experience
Master’s degree in a related field and 1 year of relevant experience
Completed Bachelor's degree in quantitative subject such as computer science, statistics, mathematics, physics, engineering, finance, economics or relevant quantitative background and a minimum of 3 years of related experience
Master's degree in related field and 2 years of related experience
The ideal candidate will posess:
- Strong analytical and communication skills
- Proficiency in computational/statistical programming, one or more statistical programming languages (R, SAS, etc.)
- Some experience using scripting languages (such as Python), Linux, and a version control system (such as Git).
- Experience working with large and complex data sets, including the ability to query databases
- A demonstrated potential to conduct analysis of banks using large datasets
- A solid conceptual understanding of statistical and econometric concepts and market and/or credit risk.
- Experience with database management tools (such as Microsoft SQL Server) is desired.
- Ability to write and communicate clearly, deliver effective presentations, and conduct research.
- Strong interpersonal skills, including the ability to work in a group setting in a matrix environment while accomplishing multiple goals within established and changing deadlines
- Familiarity with modern revenue and/or risk modeling practices and industry standards
- Familiarity with bank regulatory capital measures and US GAAP accounting standards
- Writing sample may be requested. Coding assessment may be administered.
- Some travel may be required. At certain times, the position may require flexibility to work extended hours to meet deadlines, especially during the stress test production quarter (currently April - June).
- This position will require an on-site presence in Washington, DC.