Senior Product Analyst — Fintech

Key Responsibilities

• Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel
• Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage
• Surface growth opportunities — dig into data to find product directions worth betting on
• Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after
• Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions
• Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health
• Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data
• Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built

Skills, Knowledge & Expertise

• 3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers
• Strong statistical foundation: A/B testing, causal inference, time series
• Advanced SQL — comfortable writing and optimizing complex queries across large datasets
• Python proficiency — pandas, numpy, and the rest of the standard data stack
• Experience with BI and visualization tools: Redash, Tableau, or similar
• Structured thinking and a product mindset — you balance analytical rigor with business pragmatism
• Bonus: background in fintech, lending, or marketplace products at scale
• English: Professional Working Proficiency

Benefits

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Access to professional counseling services, including psychological, financial, and legal support
• Discount club membership
• Diverse internal training programs
• Partially or fully paid additional training courses
• All necessary work equipment