Role Overview
As a Senior Product Data Analyst in the Risk Control Department, you will play a pivotal role in shaping and optimizing the business environment for our clients. Unlike dealing-focused analysts who concentrate on real-time execution, your mission is to provide data-driven insights on product design, client segmentation, and business environment performance. You will analyze how different transaction costs, leverage settings, credit policies, and execution conditions impact client profitability, company P&L, and long-term sustainability. This role is highly cross-functional, requiring collaboration with Product, Risk teams to transform data into strategies that balance competitiveness, user experience, and risk control.
Key Responsibilities
- Evaluate the performance of business environments (spread, commission, swap, slippage) and quantify their impact on client P&L and company revenue.
- Conduct A / B testing and scenario modeling for product policy changes (e.g., leverage tiers, credit promotions, risk-free revenue adjustments).
- Segment clients by behavior, experience level, or strategy type to recommend differentiated product environments that maximize retention and profitability.
- Build dashboards and monitoring frameworks to track product KPIs across brands, regions, and client cohorts.
- Collaborate with Risk teams to validate that product settings (pricing, execution latency, hedging costs) align with risk appetite and revenue goals.
- Perform competitor benchmarking to identify market gaps and guide pricing / feature differentiation.
- Lead deep-dive investigations into underperforming products or brands (e.g., low-margin portfolios, unprofitable IB structures).
- Translate analytical findings into actionable product recommendations for senior stakeholders.
Qualifications
Bachelor’s or Master’s degree in Finance, Economics, Statistics, Business Analytics, or a related field.Minimum 3+ years of experience in data analytics, product management, or financial services with exposure to latest fintech trends and products.Strong SQL skills (joins, window functions, performance tuning).Proficiency in Python for data analysis, automation, and model prototyping.Familiarity with A / B testing, experimental design, and scenario modeling.Hands-on experience with BI / visualization tools (Power BI, Tableau) to communicate product KPIs and client insights.Able to bridge technical analysis with business strategy.Strong critical thinking, problem-solving skills, and the ability to drive insights into strategic product outcomes.#J-18808-Ljbffr