Navient is looking to solve the problem of optimizing loan pricing to drive growth, profitability, and credit quality, while also delivering meaningful outcomes for customers and investors.
Requirements
- Strong proficiency in SQL and Python for data extraction, transformation, and analysis.
- Experience working with large datasets, building dashboards, and automating analytical workflows.
- Solid understanding of financial metrics such as Net Interest Income, yield, and credit risk-adjusted return.
- Experience with pricing analytics, yield optimization, or profitability modeling strongly preferred.
- Ph D or Masters degree-Machine Learning
- Experience in data analytics, data science, or quantitative modeling, preferably within financial services, student and consumer lending, or fintech.
- 5+ years of experience in data analytics, data science, or quantitative modeling
Responsibilities
- Build and maintain reporting and dashboards that track pricing performance and its impact to Net Interest Income, loan profitability, and volume.
- Build and automate recurring pricing analytics in SQL and Python to ensure accuracy, scalability, and consistency.
- Design and execute experiments and analyses to optimize pricing structure across customer segments, product structures, loan terms, and credit tiers.
- Develop predictive models that describe and quantify the impact of pricing adjustments and promotional pricing strategies on applicant conversion, portfolio yield, and credit quality across product segments.
- Build models that project key metrics to inform business decisions and simulate economic and financial outcomes.
- Apply advanced statistical, econometric, or machine learning techniques to stress-test pricing strategies.
- Deliver scenario-based insights to inform strategic pricing decisions, margin planning, and growth projections.
Other
- Bachelor’s Degree- Computer Science, Data Science, Statistics or related fields of study
- 5+ years of experience in data analytics, data science, or quantitative modeling, preferably within financial services, student and consumer lending, or fintech.
- All offers of employment are contingent on standard background checks.
- Depending on the needs of our business, the successful candidate may be subject to further background checks to determine eligibility and suitability.
- EOE Race/Ethnicity/Sex/Disability/Protected Vet/Sexual Orientation/Gender Identity.
