Product Data Analyst

DUOTECH PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A global consulting firm in Singapore is seeking a Senior Product Data Analyst. This role involves optimizing trading environments through data insights, requiring collaboration across teams. Ideal candidates have 5+ years in data analytics with strong SQL and Python skills. This position offers a chance to impact client profitability and company performance while working in a vibrant, cross-functional environment.

Qualifications

• Minimum 5 years of experience in data analytics, product management, or financial services.
• Strong SQL skills, including joins and performance tuning.
• Proficiency in Python for data analysis and automation.

Responsibilities

• Evaluate trading environments and their impact on client P&L.
• Conduct A/B testing for product policy changes.
• Build dashboards to track product KPIs.

Skills

Data analytics

Product management

SQL skills

Python

BI/visualization tools

Tools

Power BI

Tableau

Job description

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‑div 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.