Risk Data Analyst

DUOTECH PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A global management consulting firm in Singapore seeks a Senior Data Analyst for the Risk Control Department. The role involves data analytics to manage trading risk and optimize client performance monitoring. Responsibilities include monitoring trading flows, analyzing client accounts, and collaborating with various teams to transform data into actionable insights. Candidates should have over 3 years of experience in data analysis, with skills in SQL and Python being critical. An understanding of trading products is essential.

Qualifications

• 3+ years of experience in data analysis, preferably in trading or financial risk control.
• Solid understanding of trading products like FX, CFDs, and derivatives.
• Proficiency in SQL for database management.

Responsibilities

• Monitor client trading flows and detect irregular activities.
• Conduct daily analysis of account margin usage and P&L.
• Develop data reports for internal stakeholders.
• Design risk monitoring mechanisms and alerts.
• Analyze trading patterns to identify risk categories.
• Collaborate with Data Engineering on data pipelines.
• Provide market intelligence and on-chain data analysis.

Skills

Data analysis

SQL

Python

Trading products knowledge

BI tools (Power BI)

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 Data Analyst in the Risk Control Department, you will be at the forefront of driving data-informed decisions to manage trading risk and optimize client performance monitoring. This role combines advanced data analytics with in-depth business understanding, focusing on client trade behavior, market risk exposure, and supporting real-time decision-making for the Dealing and Risk teams. You’ll work across functions to transform complex data into actionable insights that enhance operational and risk management frameworks.

Key Responsibilities:

• Monitor client trading flows and execution in real-time to detect irregular activities or abnormal risk profiles.
• Conduct daily analysis of client accounts, margin usage, leverage, and P&L to support operational risk controls.
• Develop and maintain comprehensive data reports and dashboards for internal stakeholders (Dealing, Risk, Management).
• Design and automate risk monitoring mechanisms, including alerts and triggers based on market or client behavior patterns.
• Analyze trading patterns and historical behavior to segment clients and identify emerging risk categories.
• Collaborate with Data Engineering to maintain and optimize data pipelines, ensuring reliability and data integrity.
• Provide market intelligence, including on-chain data analysis, to highlight potential market risks and opportunities.
• Liaise with cross-functional teams (Product, Compliance, Operations) to align business needs with data solutions.
• Occasionally communicate with external vendors or liquidity providers to support trading risk data initiatives.

Qualifications:

• 3+ years of experience in data analysis, preferably within trading, brokerage, or financial risk control functions.
• Solid understanding of trading products (e.g., FX, CFDs, derivatives) and client trading behavior.
• Proficiency in SQL (including complex queries, joins, and performance optimization).
• Experience in Python for data processing, statistical analysis, and automation scripting.
• Advanced experience with BI tools such as Power BI is a plus.