Quantitative Analyst advancing financial modeling and analytics at Flagstar Bank. Responsible for credit risk management, model development, and data analysis.
Responsibilities
Development and maintenance of quantitative financial models used in risk measurement, income simulations, balance sheet management, or asset valuations.
Implements, tests and documents internally and externally developed and/or licensed models.
Assist with the integration of models within the FMA team and amongst other teams to ensure consistency and accuracy across all model outputs.
Analysis and document of model output, ongoing performance monitoring, synthesis of information, and communication of conclusions and recommendations.
Testing of established models, including back-testing, benchmarking, sensitivity testing, and scenario analysis.
Utilize industry standard quantitative software, data science programming languages (Python), database systems (SQL), and workstation productivity applications (Tableau).
Requirements
Undergraduate Degree (4 years or equivalent) in Finance, Mathematics, Economics, Engineering, or similar.
1+ Years of experience with credit risk modeling; including linear modeling frameworks.
Master's Degree (or Postgraduate equivalent) in Finance, Mathematics, Economics, Engineering, or similar (preferred).
Experience with quantitative fixed income, programming and financial modeling experience (preferred).
Direct working with and analyzing model data preparation requirements (quality control, transformations, re-classifications, etc.) (preferred).
Experience with CCAR/DFAST modeling requirements (preferred).
Experience with ALLL/CECL modeling requirements (preferred).
Experience deploying credit loss models into a production ALM environment (preferred).
Experience using third-party macroeconomic forecast data (preferred).
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