About Hytech
Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We partner with top trading platforms and cryptocurrency exchanges, providing consulting, risk analytics, and technology solutions that power institutional trading desks across the globe.
With 2,000+ professionals and a global presence, Hytech offers a unique environment where youll work closely with quants, data scientists, and risk analysts on high-impact, production-grade projects.
The Opportunity
Join our expanding quantitative research function and help design, build, and productionize models for crypto and multi-asset trading environmentsfrom exchange-style setups to broker-dealer trading desks. You&aposll have direct exposure to live trading, market-making, and risk analytics, working at the intersection of technology and the fastest-evolving financial markets.
What Youll Do
Core Responsibilities
- Lead quantitative research and model development for trading, risk analytics, and market-making strategies in exchange or broker trading desk environments.
- Frame research hypotheses, engineer features, select and calibrate models, and run robust, time-aware backtests using large-scale, real-world trading data.
- Productionize strategies: deploy, monitor, and iterate on models in live trading and execution pipelines.
- Collaborate closely with the dealing team and stakeholders for direct impact on strategy decisions and execution.
- Mentor junior quants; set technical standards for research quality, code, and documentation.
- Clearly communicate findings and actionable insights to both technical and non-technical teams.
Advanced/Plus
- Experience with market-making, liquidity provision, or execution algorithms in crypto or traditional markets.
- Experience with cryptocurrency exchange platforms is a plus
- Strong background in market microstructure analysis or high-frequency signals.
- Practical experience with cost-sensitive strategies, P&L attribution, and post-trade analytics.
- Rapid experimentation and impact-driven research mindset.
Minimum Qualifications
- 5+ years in quantitative research, trading, or risk analytics (preferably with 3+ years in crypto, exchange, or broker environment).
- Proficient in Python (pandas, NumPy, scikit-learn), SQL, and PySpark/Spark (Databricks experience a plus).
- Deep understanding of statistics, financial modeling, and experimental design.
- Track record of delivering research to production: hypothesis backtest calibration monitored rollout.
- Excellent communicator and mentor.
Nice to Have
- Exposure to crypto/CFD/gold/FX/derivatives.
- Experience in market-making or trading strategy optimization.
Why Join Us
- Expansion of Scope & Strategic Exposure: Collaborate directly with dealing teams, influence live trading, and gain dual exposure to both traditional finance and crypto tradinga unique cross-market perspective.
- Quantitative Trading Opportunities: Build and optimize models with abundant data from real trading environments (exchange and broker), powering both market-making and risk strategies.
- Impact & Career Acceleration: Be part of a highly profitable, fast-growing organization at the ground floor of quant trading; your work will directly shape trading outcomes and your own career trajectory.
