Senior Risk Data Analyst

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.