Product Data Analyst
2 days ago
Roles & Responsibilities About Us: Hytech is a global management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We empower our clients with comprehensive consulting solutions and robust middle- and back-office support, enabling streamlined operations and forward-thinking strategies. With a team of over 2,000 professionals, Hytech serves a diverse portfolio of clients, including the world’s second-largest CFD trading platform and several leading cryptocurrency exchanges. Our global presence spans across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, and more. 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 Minimum 5 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. Tell employers what skills you have TableauHedgingBrokerageDerivativesData AnalysisCustomer ExperienceRisk ControlData ManagementUser ExperienceProduct ManagementSQLPythonAb TestingProduct DevelopmentData AnalyticsPricingPower BICryptocurrencyData VisualizationProduct Analysis
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