台北市大同區5年以上大學以上待遇面議
[Role Overview]
As a Senior Product Data Analyst in the Risk Control Department, you will play a pivotal role in shaping and optimizing the trading 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 trading 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, and Dealing teams to transform data into strategies that balance competitiveness, user experience, and risk control.
[Key Responsibilities]
- Evaluate the performance of trading 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 Dealing and 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 trading environments (CFDs, FX, derivatives, crypto exchange).
- 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.
- Strong understanding of brokerage product mechanics: spreads, commission, swaps, leverage, credit/bonus, rebates, and CPA.
- Hands-on experience with BI/visualization tools (Power BI, Tableau) to communicate product KPIs and client insights.
- Excellent communication skills in English and Mandarin; able to bridge technical analysis with business strategy.
- Strong critical thinking, problem-solving skills, and the ability to drive insights into strategic product outcomes.
[What We Offer]
- A high-visibility role where your insights directly shape product competitiveness and trading environment design.
- Hybrid exposure to product strategy, client analytics, and financial risk management.
- Opportunities to drive data-backed initiatives across multiple brands, products, and regions.
- Cross-functional collaboration with seasoned professionals in Product, Risk, Dealing, and Data Engineering.
- Professional development pathways into product strategy, client analytics leadership, or cross-brand product management.
- Competitive compensation and an environment that rewards performance and innovation.