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Hytech

Quantitative Researcher

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  • Posted 3 months ago

Job Description

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 you'll work closely with quants, data scientists, and risk analysts on high-impact, production-grade projects.

The Opportunity

Step into a hands-on quantitative research environment, supporting model development and analytics for crypto and multi-asset trading desks (both exchange and broker platforms). You'll be exposed to live trading flows, feature engineering, backtesting, and model monitoring, building your quant skillset in a uniquely high-impact setting.

What You'll Do

  • Support production analytics and model pipelines for exchange and broker trading desk environments: data QA, feature engineering, daily/weekly monitoring, and reporting.
  • Build fast, reproducible backtests and analyses using PySpark, SQL, and Python, generating clear summaries of P&L, risk, and strategy performance.
  • Create and maintain dashboards and research documentation for internal stakeholders.
  • Assist senior quants on research and modeling for trading, risk, or market-making strategies.
  • Learn and apply industry best practices in coding, analytics, and collaborative research.

Advanced/Plus

  • Experience with exchange or broker data (crypto/CFD/FX/derivatives a plus).
  • Exposure to market-making, risk modeling, or live trading analytics.
  • Experience with workflow automation (Airflow/Databricks Jobs), dashboarding, or data observability.

Minimum Qualifications

  • 23 years in a quant, data, or analytics role (preferably in trading, crypto, or broker environments).
  • Proficient in Python (pandas, matplotlib, etc.) and SQL; exposure to PySpark/Databricks a plus.
  • Good understanding of statistics and backtesting.
  • Strong communicator, eager to learn and contribute.

Nice to Have

  • Experience with model deployment, dashboarding, or alerting in trading environments.
  • Domain exposure to brokerage/CFD/crypto/gold/FX or market-making.

Why Join Us

  • Strategic Exposure: Work side-by-side with senior quants, dealing, and risk teamsgain practical experience in both traditional and crypto trading environments.
  • Real Trading Data: Access high-frequency, large-scale trading data to build, test, and optimize your models in production-grade settings.
  • Growth Opportunity: Fast track your development in a profitable, high-growth firm where quant research is still at an early stageyour work will have real, visible business impact and open rapid career paths.

More Info

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About Company

Job ID: 126504595