About Us:
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies. With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, Dubai and more.
Role Overview:
As a Data Analyst in the Dealing Team, you will act as a strategic partner in driving data-informed decisions on real-time trading actions. Your primary mission is to provide actionable insights and performance-driven analysis to support client trading management including client profiling, behavioral modeling, trade evaluation, and real-time liquidation strategies. This is a hands-on role requiring strong analytical skills, business sense, and the ability to turn data into immediate, high-impact decisions.
Key Responsibilities:
- Conduct quantitative risk assessments for high-profitability clients, and advise senior management on order-flow routing decisions.
- Enhance and develop the Trading Book internalization system to optimize the company's riskreturn profile.
- Oversee market risk by managing hedging of book exposures to liquidity providers (LPs) in line with management directives.
- Analyze client trading behavior across different segments to identify patterns, risk profiles, and strategic opportunities.
- Support the Dealing team in real time by delivering data-backed recommendations on liquidation decisions, hedging actions, and trade exposure assessments.
- Build dashboards and monitoring tools to track real-time client activity, market impact, and internal position exposure.
- Collaborate with Product, Risk, and Engineering teams to ensure analytics align with business objectives and system capabilities.
- Perform deep-dive investigations into high-PNL-impact events, abnormal trading behaviors, or strategy loopholes.
- Analyze trade lifecycle metricssuch as entry/exit timing, slippage, and holding timeto support pricing and execution optimization.
- Assist in refining internal trading policies based on behavioral trends and market impact.
Qualifications:
- Minimum 3+ years of experience in trading analytics, brokerage, or data roles related to real-time trading activity.
- Proficiency in SQL (including complex queries, joins, and performance optimization).
- Experience in Python for data processing, statistical analysis, and automation scripting.
- Solid knowledge of trading products (e.g. FX, CFDs, derivatives) and client behavior in leveraged markets.
- Understanding of trading operations, including exposure management, pricing, slippage, and market depth, is highly advantageous.
