Risk Data Analyst

DUOTECH PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading fintech company in Singapore is seeking a Senior Data Analyst to drive data-informed decisions in trading risk management. The role involves monitoring client trading activity, conducting in-depth analyses, and designing risk monitoring systems. Ideal candidates should have over 3 years of data analysis experience, proficiency in SQL and Python, and a solid understanding of trading products. This position offers a dynamic work environment and opportunities for professional growth.

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.
• Experience with statistical analysis and automation scripting.

Responsibilities

• Monitor client trading flows and execution in real-time.
• Conduct daily analysis of client accounts for risk controls.
• Develop and maintain data reports and dashboards for stakeholders.
• Design and automate risk monitoring mechanisms.
• Analyze trading patterns to identify risk categories.
• Collaborate with Data Engineering to optimize data pipelines.
• Provide market intelligence and highlight potential risks.
• Liaise with cross-functional teams for data solutions.

Skills

Data analysis

Trading behavior understanding

SQL proficiency

Python experience

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.