Company

Federal Reserve Bank of New YorkWorking at the Federal Reserve Bank of New York positions you at the center of the financial world with a unique perspective on national and international markets and economies. You will work in an environment with a diverse group of experienced professionals to foster and support the safety, soundness, and vitality of our economic and financial systems.

The Bank’s flexible work model supports balancing the demands of work and life, while prioritizing the value of connecting and collaborating with our colleagues in person. Employees are expected to live within a commutable distance of their primary work location to support team collaboration.

What we do:

The Supervision Group of the Federal Reserve Bank of New York (FRBNY) supervises financial institutions located in the Second District. The objectives of Supervision are to:

• Evaluate and promote the overall safety and soundness of supervised institutions

• Ensure supervised institutions’ compliance with relevant laws and regulations

• Facilitate the stability of the financial system of the United States

• Support the growth and stability of the U.S. economy.

Supervision is carried out through a combination of methods, including on-site and off-site examinations involving staff dedicated to the supervision of an individual firm and other professionals focused on analytical, policy, and risk matters. Supervision is coordinated with other U.S. agencies.

The New York Stress Testing (NYST) Department within the Supervisory Policy and Strategy function is a key contributor to the Federal Reserve System’s annual supervisory stress test, which assesses whether bank holding companies and U.S. intermediate holding companies with $100 billion or more in total consolidated assets are sufficiently capitalized to absorb losses during a hypothetical stress scenario. NYST leads scenario design for the global market shock (GMS) component of the stress test, which is applied to firms with significant trading or custodial operations. In addition, NYST develops, executes, and performs ongoing monitoring of models that estimate GMS related losses and firms’ overall post-stress capital levels.

Your role as Risk Modeling and Analytics Specialist in the New York Stress Testing Department:

As a Risk Modeling and Analytics Specialist, you will apply advanced statistical methods to develop, improve, and implement models used in the design of the GMS scenarios. You will report to the Risk Modeling and Analytics Program Lead locally and to the GMS Team co-leads within the national stress test program, collaborating with a dedicated group of economists, quantitative analysts, programmers and market risk specialists to achieve team objectives. The ideal candidate will be comfortable with complex and dynamic systems/processes, have experience with advanced modeling concepts, a strong attention to detail, and well-developed communication skills.

Core responsibilities include:

• Designing, implementing, and updating quantitative models of market risk variables and/or trading/counterparty credit related profits and losses, primarily in the R language, in collaboration with other quants and economists.

• Documenting, testing, monitoring, and troubleshooting such models.

• Keeping informed of financial market practices and developments that could impact theeffectiveness of such models.

• Presenting model results in verbal and written form to senior leadership, model validators,and other key stakeholders.

• Contributing to the integration of models into the team’s systems infrastructure by working with the technology team to understand the systems and how they interact with the models. This requires a willingness to learn front end tools such as R-Shiny.

What we are looking for:

• Strong background in finance, economics, or a related quantitative field. Expert knowledge in statistics or econometrics is a plus.

• Demonstrated experience with statistical modeling, such as regressions, Monte Carlo simulation etc.

• Demonstrated experience with the R programming language.

• Strong written and verbal communication skills. Ability to present technical issues to nontechnical audiences and to clearly articulate findings verbally and in writing.

• Strong interpersonal skills with the ability to work effectively on a team in a hybrid work environment and collaborate with peers across the Federal Reserve System on System workgroups and projects.

• Strong analytical and critical thinking skills, demonstrated by the ability to assimilate information, understand new and complex topics, and integrate data and analysis.

• Expertise or demonstrated experience in the following a plus:

  • Advanced R programming language skills, including package development and experience with front-end software development using R and R Shiny.

  • Git version control software.

  • SQL and relational databases.

  • Machine learning techniques.

  • Core financial market concepts, such as derivatives pricing, securitization, market risk, default risk, and counterparty credit risk.

  • Bank supervision-related topics such as stress testing and capital regulation.

Full Time / Part Time

Full time

Regular / Temporary

Regular

Job Exempt (Yes / No)

Yes

Job Category

Analytical

Work Shift

First (United States of America)

The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

Privacy Notice