About Hytech
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges.
With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.
This position is primarily responsible for studying abnormal profit and arbitrage behaviors in the market, and assessing their potential impact on the company's products and risk control mechanisms. By analyzing trading data, product rules, and market cases, the role helps the company identify risk gaps, propose optimization recommendations, and continuously strengthen the integrity and resilience of the overall risk control system.
Key Responsibilities
Deconstructing Emerging Arbitrage Behaviors:
- Monitor the company's transaction flow, and proactively detect and break down emerging abnormal profit patterns and abnormal trading strategies in the market (multi-account correlation / arbitrage behavior)
Reverse-Engineering System Vulnerabilities:
- Perform reverse-engineering behavioral reconstruction on the trading time-series of high-profit or high-risk clients to determine whether they are exploiting system latency or vulnerabilities for arbitrage
Rule Iteration and Output:
- Translate identified arbitrage characteristics and vulnerabilities into concrete system logic specifications, and work with internal teams to continuously iterate the defense system
Scenario Validation Testing:
- Conduct scenario-based validation testing on existing product rules and risk control parameter settings, and proactively produce recommendations for strengthening defenses
Minimum Qualifications
- 3+ years of experience in risk control, dealing/trading, or anti-fraud at online highfrequency trading firms, forex (FX/CFD), cryptocurrency exchanges, or digital payment/FinTech companies
- Able to interpret detailed trading and market data, analyzing the sequence of trading behavior and entry/exit logic from time-series records
- Possesses fundamental data analysis skills, able to derive behavior patterns and regularities from large volumes of trading data
Preferred Qualifications
- Familiar with the data structures, back-end operations, or pricing mechanisms of financial trading platforms (e.g., MT4/MT5, exchange matching engines)
- Proficiency in Python (Pandas / NumPy) or SQL for data processing and analysis, with automation scripting ability preferred
- Able to skillfully integrate AI tools (e.g., LLMs, prompt engineering, automation pipelines) into daily data analysis workflows to improve efficiency
Personality
- Keen observation and patience, able to organize context from complex trading data and reconstruct the full picture of behavior
- Rigorous logical thinking, inclined to dig deep and not settle for surface-level observations
- Open-minded with a strong appetite for learning, willing to proactively adopt new tools and methods to improve work efficiency
