Financial Modeling & Analytics Quantitative Analyst

Position Title

Financial Modeling & Analytics Quantitative Analyst

Location

New York, NY 10018

Job Summary

The Quantitative Analyst is a key member of the Financial Modeling and Analytics team, advancing Flagstar’s understanding of its customers, balance sheet, and risk exposures. This Analyst uses advanced quantitative and technical skills to produce insightful reporting, modeling analysis, and recommendations that enables sound and profitable risk management and strategic decisions. The Analyst may have assignments related to credit risk management for current expected credit loss (“CECL”), macroeconomic scenarios (“Stress Testing”), asset and liability management (“ALM”), allowance for loan and leases losses (“ALLL”) models and analytics.

This Analyst is responsible for maintaining the skills and knowledge relevant to their assigned job responsibilities. In addition, the analyst promotes and advocates the adoption of appropriate new methodologies for quantitative models and analysis that benefit the Bank. Provides assistance with identifying and designing quantitative solutions to problems as presented by management to further the Bank’s strategic plans.

$62,910.75-$117,160.00

Pay Range: Local Minimum Wage - $0.00 - $0.00

Job Responsibilities:

• Development and maintenance of quantitative financial models used in risk measurement, income simulations, balance sheet management, or asset valuations, Including complex financial, econometric, and statistical frameworks. 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 in a clear and concise manner to senior managers and executives.

• 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) to produce required deliverables.

• Assists with the analysis and documentation of Management, Internal Audit, Enterprise Risk Management and Regulatory findings and requirements.

• Develop automated solutions to simplify challenging and repetitive processes.

ADDITIONAL ACCOUNTABILITIES

• Performs special projects, and additional duties and responsibilities as required.

• Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings.  Accountable to maintain compliance with applicable federal, state and local laws and regulations.

JOB REQUIREMENTS

Required Qualifications:

• Education level required: Undergraduate Degree (4 years or equivalent)  Finance, Mathematics, Economics, Engineering, or similar.

• Minimum experience required: 1+ Years of experience with credit risk modeling; including linear modeling frameworks (Ordinary Least Squares, Logistic Regression, Generalized Linear Models, Credit Risk Scorecards, Time Series, Roll Rate, Transition Matrix, etc.)

Preferred Qualifications:

• Education level preferred: Master's Degree (or Postgraduate equivalent) in Finance, Mathematics, Economics, Engineering, or similar.

• Experience with quantitative fixed income, programming and financial modeling experience. Direct working with and analyzing model data preparation requirements (quality control, transformations, re-classifications, etc.).

• Experience with CCAR/DFAST modeling requirements.

• Experience with ALLL/CECL modeling requirements.

• Experience deploying credit loss models into a production ALM environment.

• Experience using third-party macroeconomic forecast data.

Job Competencies:

• Knowledge of finance concepts with a solid understanding of statistics and quantitative methods.

• SAS: experience developing and documenting well-structured, standards-based SAS programs using Enterprise Guide, SAS data analysis and management, procedures (Base SAS procedures, SAS macros, SAS functions, program factoring such as “Include”, etc.), PROC SQL, statistical procedures (PROC GLM, PROC GEE, PROC GENMOD, PROC LOGISTIC, PROC ARIMA, etc.).

• Python: experience using similar routines mentioned above, additional Python experience developing transition matrix models.

• SQL: experience developing and running complex data extract and transformation queries using SQL, SQL Server in an enterprise database environment.

• Proven experience with object oriented and/or relational database programming preferred.

• Proven track for pursuing CFA professional development preferred.

• Excellent analytical skills; strong written and oral communication skills, a clear, concise expository style.

• Strong communication and collaboration skills.

• Strong project management skills.

• Demonstrated ability to work cooperatively, prioritize and multi-task within in a team- oriented and fast-paced environment.

• Physical demands (ADA): No unusual physical exertion is involved.

Flagstar is an Equal Opportunity Employer

Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information: Benefits | Flagstar Bank