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Senior Product Analyst (Fintech)
132 000 - 148 500$
Job description
Text:
TL;DR
Senior Product Analyst (Fintech): Building data-driven evaluations and analytics foundations for new lending and payments products with an accent on financial modeling, customer segmentation, experimentation, and scalable data marts. Focus on designing metrics frameworks, detecting data quality issues, translating behavioral insights into product decisions, and applying AI tools across multiple workstreams.
Location: Arlington, VA, United States of America; hybrid with an in-office expectation of at least 50% of the time, typically three days per week.
Salary: $132,000–$148,500 gross per year, plus equity and additional compensation components.
Company
provides secure financial services for customers sending and managing money across borders.
What you will do
- Build business models and financial frameworks for new lending, payments, and other financial product opportunities, including market sizing, unit economics, and NPV analysis.
- Segment customers using behavioral and transactional data to identify underserved groups, validate product-market fit, and support go-to-market strategy.
- Create datamarts, dashboards, scalable data models, and metrics frameworks for reporting, experimentation, and self-service analysis.
- Implement data quality monitoring, anomaly detection, and alerting for critical metric drift.
- Design and analyze A/B tests and other experiments, turning results into actionable product recommendations.
- Partner with Product and Engineering to define success metrics, monitor launches, identify customer friction, and apply AI tools to accelerate analysis.
Requirements
- 4+ years of experience in product analytics, business analytics, or a related quantitative role, ideally in fintech, e-commerce, or consumer financial services.
- Bachelor’s degree in mathematics, economics, engineering, statistics, or another quantitative discipline, or equivalent experience.
- Strong SQL skills and experience analyzing large datasets from multiple sources.
- Experience with ETL processes, data pipelines, schemas, transformations, and analysis-ready data sources.
- Experience with data visualization tools such as Mode, Looker, or Tableau.
- Experience with financial analysis for early-stage products, customer segmentation, ambiguity, and data storytelling.
Nice to have
- Experience with Python or R.
Culture & Benefits
- Flexible paid time off.
- Health, dental, and vision coverage with a 401(k) plan and company matching.
- Paid parental, medical, military, and family care leave.
- Mental health and family-forming benefits.
- Employee Stock Purchase Plan and continuing education support.
- Connected Work Culture supporting regular in-person collaboration.