naukri
Quantitative Researcher
Client of Platinum and Partners
Dubai, UAE
Senior
2 weeks ago
Quantitative ResearchSystematic Trading StrategiesHigh Frequency TradingMarket Making StrategiesBacktestingData Analysis
Free
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Quantitative ResearchSystematic Trading StrategiesHigh Frequency Trading
About the Role
A Dubai-based firm seeks a Quantitative Researcher to develop and refine systematic trading strategies for digital asset markets. The role involves full lifecycle ownership from idea generation to live implementation, working with traders and technologists.
Key Skills for This Role
Quantitative ResearchSystematic Trading StrategiesHigh Frequency TradingMarket Making StrategiesBacktestingData Analysis
Responsibilities
- Research, develop and backtest quantitative trading strategies in digital asset markets
- Analyse large volumes of high frequency market data to identify signals and improve existing strategies
- Build and maintain robust backtesting and simulation frameworks
- Work closely with traders and engineers to implement strategies into production
- Monitor live strategy performance and conduct ongoing research to improve alpha generation
Requirements
- PhD or Master's in Mathematics, Statistics, Physics, Computer Science, Financial Engineering or related quantitative discipline
- 3+ years of quantitative research experience in systematic trading firm, HFT shop, quant hedge fund or prop desk
- Proven track record of developing strategies that have gone live in production
- Strong statistical and mathematical skills with hands on experience in signal research and strategy development
- Proficiency in Python for research and data analysis
- Experience with high frequency or microstructure data is highly valued
- Crypto or digital asset market experience is a strong plus
Full Job Posting
The Role
- The firm is looking for a talented Quantitative Researcher to join their research team in Dubai.
- You will be responsible for developing, testing and refining systematic trading strategies across digital asset markets, with a particular focus on high frequency and market making strategies.
- This is a genuinely research driven role — you will own the full lifecycle from idea generation and data analysis through to backtesting, live implementation and ongoing performance monitoring, working in close collaboration with traders and technologists.
Key Responsibilities
- Research, develop and backtest quantitative trading strategies in digital asset markets
- Analyse large volumes of high frequency market data to identify signals and improve existing strategies
- Build and maintain robust backtesting and simulation frameworks
- Work closely with traders and engineers to implement strategies into production
- Monitor live strategy performance and conduct ongoing research to improve alpha generation
What We're Looking For
- Strong academic background — PhD or Master's in Mathematics, Statistics, Physics, Computer Science, Financial Engineering or a related quantitative discipline
- 3+ years of quantitative research experience in a systematic trading firm, HFT shop, quant hedge fund or prop desk
- Proven track record of developing strategies that have gone live in production
- Strong statistical and mathematical skills with hands on experience in signal research and strategy development
- Proficiency in Python for research and data analysis; familiarity with C++ is a plus
- Experience with high frequency or microstructure data is highly valued
- Crypto or digital asset market experience is a strong plus but not essential — systematic research pedigree is what matters most
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