[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.
待遇面議
(經常性薪資達 4 萬元或以上)
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