Financial Modeling Analyst I

Summary

State Employees' Credit Union (SECU) is seeking a Financial Modeling Analyst I to support quantitative modeling for capital planning, stress testing, and CECL efforts. The role assists with model maintenance and development, capital planning, credit loss forecasting, scenario analysis, and communicating economic and balance-sheet trends to management.

Responsibilities

• (30%) Assist with the maintenance of existing quantitative analysis, credit loss forecasting models, and behavior modeling for loan and deposit products
• (30%) Lead in the development, documentation, review, backtesting, and approval of new models
• (20%) Assist with capital planning and analysis to support growth projections and scenario design
• (20%) Assist with implementation, performance monitoring, and ad hoc analysis to support credit loss forecasting

Skills

• This position requires a four-year degree in Finance, Mathematics, Economics, or a related quantitative field of study
• 2+ years of progressive experience in financial services industry in risk management or finance or an advanced degree in a quantitative field of study
• Strong understanding of financial markets, interest rates and potential impact of current economic activities and political events. Strong understanding of financial statements, forecasting, and performance metrics
• Proven ability to condense highly technical subject matter into clear and effective communications to senior management
• Proficient with statistical software programming tools such as R, Python, SAS
• Advanced degree in Finance, Mathematics, Economics, or a related quantitative field of study

Qualifications

Must Haves

• This position requires a four-year degree in Finance, Mathematics, Economics, or a related quantitative field of study
• 2+ years of progressive experience in financial services industry in risk management or finance or an advanced degree in a quantitative field of study
• Strong understanding of financial markets, interest rates and potential impact of current economic activities and political events. Strong understanding of financial statements, forecasting, and performance metrics
• Proven ability to condense highly technical subject matter into clear and effective communications to senior management
• Proficient with statistical software programming tools such as R, Python, SAS

Nice to Haves

• Advanced degree in Finance, Mathematics, Economics, or a related quantitative field of study

Benefits

• Hybrid work schedule