Senior Data Scientist (Financial Risk Management)

Overview

This role is on the model development team in Financial Risk Management (FRM) within the Treasury department in Finance. The model developer will be responsible for end-to-end model estimation and implementation, including data ETL, variable selection, and performance testing. The developer will also be involved in model deployment and validation, meeting regularly with stakeholders to assess ongoing model performance and design choices. The candidate should have experience in statistical model development as well as a solid understanding of balance sheet risk management and credit union financial exposures such as credit risk and interest rate risk. The ideal candidate has a background in economics or finance and a strong grasp of the credit union business model and current economic environment.

Responsibilities

• Design, develop, and evaluate moderately complex predictive models and advanced algorithms
• Identifies meaningful insights from large data and metadata sources
• Test hypotheses/models, analyze, and interpret results
• Exercise sound judgment and discretion within defined procedures and practices
• Develop and code moderately complex software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data and provide insights
• Develop understanding of best practices and ethical AI
• Transform data into charts, tables, or format that aids effective decision making
• Build working relationships with team members and subject matter experts
• Lead small projects and initiatives
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

Qualifications

• 3-5 years of experience in exploratory data analysis
• Basic understanding of business and operating environment
• Statistics
• Programming, data modeling, simulation, and advanced mathematics
• Python, SQL, and Databricks
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Working knowledge of procedures, instructions, and validation techniques
• Model Development
• Communication
• Critical Thinking
• Collaborate and Build Relationships
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Sound Judgment
• Problem Solving (Responds as problems and issues are identified)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
• Background in finance or economics
• FRM/CFA or related certification
• Experience estimating and implementing statistical models using real-world economic data
• Experience in asset-liability management and financial risk management
• Understanding of financial statements and types of risk faced by credit unions

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180

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