Quantitative Researcher
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Key skills for this role
About the Role
A proprietary trading firm seeks a Quantitative Researcher to develop systematic trading strategies for crypto markets. You will research, backtest, and deploy quantitative models, working with experienced researchers and engineers.
Key Skills for This Role
Responsibilities
- Design, develop, and backtest quantitative trading strategies
- Analyse large market datasets to identify alpha opportunities
- Build predictive models for price movements, volatility, and liquidity
- Research market behaviour using statistical and machine learning techniques
- Develop research tools, backtesting frameworks, and data pipelines
- Work closely with traders and software engineers to deploy production strategies
- Monitor live strategy performance and continually optimise models
Requirements
- 3+ years of quantitative research experience within a trading firm, hedge fund, or research driven environment
- MSc or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or another highly quantitative discipline
- Strong commercial experience applying machine learning techniques
- Excellent understanding of statistics, probability, and mathematical modelling
- Advanced Python skills, including experience with data science libraries such as NumPy, Pandas, and scikit learn
- Experience working with time series data
- Strong analytical thinking and a research first mindset
- Excellent communication skills
Full Job Posting
Role Overview
- A rapidly growing proprietary trading firm is looking for a Quantitative Researcher to join its research team.
- You'll work alongside experienced researchers, traders and engineers, tackling complex problems across data science, machine learning and financial markets.
- Your research will directly influence live trading systems.
Key Responsibilities
- Design, develop and backtest quantitative trading strategies
- Analyse large market datasets to identify alpha opportunities
- Build predictive models for price movements, volatility and liquidity
- Research market behaviour using statistical and machine learning techniques
- Develop research tools, backtesting frameworks and data pipelines
- Work closely with traders and software engineers to deploy production strategies
- Monitor live strategy performance and continually optimise models
Requirements
- 3+ years of quantitative research experience within a trading firm, hedge fund or research driven environment
- MSc or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering or another highly quantitative discipline
- Strong commercial experience applying machine learning techniques
- Excellent understanding of statistics, probability and mathematical modelling
- Advanced Python skills, including experience with data science libraries such as NumPy, Pandas and scikit learn
- Experience working with time series data
- Strong analytical thinking and a research first mindset
- Excellent communication skills
Desirable Experience
- Experience researching crypto markets
- Background within quantitative trading or hedge funds
- Knowledge of market microstructure or order flow analysis
- Experience with large scale data processing technologies
- Exceptional competitive programming or academic achievements, including Kaggle, IOI, IMO or ACM ICPC
What's on Offer
- The opportunity to see your research directly power live trading strategies
- High levels of autonomy and ownership over your research
- Competitive salary and benefits package
- Flexible working arrangements and genuine work life balance
- Access to cutting edge AI tools and modern research infrastructure
- International team with regular company workations and team trips
- A chance to join one of the fastest growing areas of quantitative finance
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