About Us:
Hytech is a leading fintech company specializing in cutting-edge financial technology solutions. Our innovative platforms and applications empower our clients to manage their finances efficiently, securely, and with unparalleled convenience. As a market leader in the fintech industry, we are dedicated to driving digital transformation and shaping the future of financial technology.
Our passion for connecting the dots extends beyond the technological realm. We foster a culture of inclusivity that values collaboration and knowledge-sharing among our team members, clients, and partners. Together, we harness the power of connection to inspire innovation, drive growth, and shape a better future for the fintech industry.
Join us at Hytech as we continue our journey of connecting the dots and paving the way to success for our clients and partners. Let us embark on a collaborative adventure, where we explore new possibilities, drive innovation, and navigate the exciting landscape of the digital world together.
Role Overview
As a Senior Product Data Analyst in the Risk Control Department, you will play a pivotal role in shaping and optimizing the financial 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 financial 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 financial 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 invesment and financial technology.
- 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 financial 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.
