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:
- Bachelor's or Master's degree in a quantitative field such as Financial Engineering, Statistics, Mathematics, Economics, or Computer Science.
- 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.
- Strong business acumen with the ability to translate complex datasets into clear, actionable insights.
- Excellent communication skills in English and Chinese; capable of conveying technical concepts to non-technical stakeholders.
- Able to work independently, manage multiple projects, and thrive in a fast-paced, dynamic environment.
What We Offer:
- A high-impact role within a data-driven, risk-conscious trading environment.
- Exposure to fast-paced financial markets, with access to real trading data and decision-making processes.
- A collaborative and experienced team across dealing, risk, and data disciplines.
- Career development opportunities in financial analytics, trading intelligence, or risk strategy.
- Flexible working environment with cross-border collaboration and autonomy.
- The opportunity to shape and enhance the data infrastructure of a growing fintech-driven organization.
