Financial Risk Analyst II/III (Data Scientist)

YOUR LIFE'S MISSION: POSSIBLE

You have goals, dreams, hobbies and things you’re passionate about.

What’s Important to You Is Important to Us
We’re looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen.

Don’t take our word for it.

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• Computerworld® Best Places to Work in IT

Basic Purpose

We are seeking a talented data driven analytics professional to join the Credit Risk & Decision Science team. In this role you will develop analytical solutions and create strategies that support maximizing the net profitability of Navy Federal Credit Union’s various lending portfolios while balancing member service and needs. These analytical solutions include the development of credit card line assignment models, credit card line increase models, and consumer loan pricing models to name a few. Analysts will work closely with the underwriting and product teams of the various lending portfolios to define underwriting policies, account management strategies, pricing, and to support new product launches. Successful analysts will possess strong communication skills as well the ability to create analyses that directly support business objectives.

Responsibilities:

• Develop and optimize risk strategies and credit guidelines that drive portfolio growth while ensuring that portfolios operate within the boundaries of acceptable risk
• Build models to evaluate and optimize business strategies across the lifecycle of lending products/services
• Conduct statistical/financial analysis on internal and external market data to discover the tradeoffs of competing business objectives such as growth, profitability, market share and competitive position
• Optimize and recommend pricing and underwriting strategies for products and services using mathematical modeling techniques
• Develop and test multiple hypotheses using results from analyses to generate and answer new questions leading to more in-depth understanding of business issue(s) being studied
• Evaluate/develop/implement analytical techniques and best practices
• Communicate analysis results to technical and non-technical audiences, including executives from the Lending department
• Partner with lending product teams and underwriting teams throughout the analysis development process
• Serve as the subject matter expert in the areas of credit risk modeling, lending data, underwriting policies, and account management strategies
• Perform other duties as assigned or appropriate

Qualifications:

• Master’s degree in a quantitative field plus 3 or more years of experience in data analytics
• Hands-on experience with statistical software/programming languages (e.g., SAS, R, Python, SQL)
• Strong working knowledge of modeling techniques such as linear regression, decision trees, logistic regression, optimization, and other machine learning methods
• Proficient data wrangler with demonstrated experience aggregating data from various sources
• Demonstrated experience developing analytical solutions that directly align with the objectives of business stakeholders
• Effective at communicating findings and recommendations clearly and concisely to a technical and non-technical audience
• Strong project management skills with the ability to manage multiple assignments effectively
• Genuine interest in financial modeling and credit risk analysis
• Experience with big data technologies such as Spark and Hadoop is a plus
• Experience developing and implementing machine learning models in the credit risk space is a plus
• Knowledge of consumer finance and/or credit risk is a plus

Desired Qualifications:

• Experience in operations research and optimization

Hours: Monday - Friday, 8:00 am - 4:30 pm

Location: 820 Follin Lane, Vienna, VA 22180

• Navy Federal is now hybrid! Our standard enterprise requirement for a hybrid schedule is to report onsite 4-16 days each month. The number of days reporting onsite will ultimately be determined by the employee's leadership and business unit needs. You will learn more throughout the hiring and onboarding process.

The salary range for this position is: $116,800 to $163,500 Annual Salary

Equal Employment Opportunity

Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability

COVID-19 Safety Protocols

All employees are expected to follow our COVID-19 safety protocols.

Disclaimer

Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position.

Bank Secrecy Act

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Employee Referrals

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.