Quantitative Risk Modeling & Stress Testing Analyst

Sunseeker Property Service

Jersey City (NJ)

On-site

USD 120,000 - 190,000

Full time

2 days ago
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Job summary

Bank of America is seeking a highly analytical Quantitative Finance Analyst to conduct market risk stress testing, develop and validate risk models, and produce technical documentation for regulatory purposes. The role emphasizes collaboration with stakeholders, advanced modelling, and clear communication of outcomes.

The ideal candidate holds a Master’s degree in a quantitative field, with strong programming (Python/SQL/VBA) and writing skills, able to handle large datasets and deliver under

Qualifications

  • Master's degree in a numerate field (PhD desirable).
  • Experience developing and documenting risk or capital models.
  • Ability to handle large datasets and complex analyses.
  • Strong programming and technical writing skills.

Responsibilities

  • Perform end-to-end market risk stress testing and scenario analysis.
  • Support model development, validation, and risk management tasks.
  • Produce clear technical documentation for internal and regulatory use.
  • Collaborate with stakeholders and communicate validation outcomes.
  • Apply innovative modelling approaches beyond standard practices.

Skills

Statistics
Probability theory
Econometrics
Financial Mathematics
Python
SQL
VBA
LaTeX
Technical Writing
Communication
Modeling

Education

Master's degree in Statistics/Financial Mathematics/Applied Mathematics
PhD preferred (desirable)

Tools

SQL
Python
VBA
LaTeX

Job description

Bank of America is seeking a highly analytical Quantitative Finance Analyst to conduct market risk stress testing, develop and validate risk models, and produce technical documentation for regulatory purposes. The role emphasizes collaboration with stakeholders, advanced modelling, and clear communication of outcomes.

The ideal candidate holds a Master’s degree in a quantitative field, with strong programming (Python/SQL/VBA) and writing skills, able to handle large datasets and deliver under

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