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Senior Product Data Analyst

Senior Product Data Analyst

HytechKuala Lumpur, Kuala Lumpur, Malaysia
30+ days ago
Job description

Hytech Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Senior Product Data Analyst

Hytech Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

2 days ago Be among the first 25 applicants

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

  • 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.
  • #J-18808-Ljbffr

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