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Quantitative Analyst
4 weeks ago
Quantitative Analyst
Sports Trading and Analytics Company
Hybrid - 3 days office, 2 days WfH
Up to £80,000 + bonus
About the company
A proprietary trading firm and alternative investment manager with a primary focus in quantitative and fundamental sports trading; they combine research and proprietary tech-driven methodologies to trade on all major public exchanges and markets to generate risk adjusted returns.
About the role
The successful quantitative researcher candidate will join the London solutions team, developing mathematical, statistical, and AI models and high-performance algorithms to predict the outcome of sporting events with a predominant focus on horse racing.
You will work on:
- Developing outcome-oriented trading strategies and statistically backtest their performance
- Effectively communicate results with clarity and efficiency to traders and other colleagues.
- Work closely with data scientists and quantitative developers to design and implement mid-high frequency trading strategies for the public sports exchanges
- You will be using Python for Quantitative and Data Science focused tasks such as the production of new strategies
- Acquire data from multiple data sources, filtering, cleaning and wrapping
- Identify, analyse and interpret trends or patterns in complex data set
About you
- Academic background in Computer Science, Maths or similar STEM discipline, ideally to Masters of PhD level
- Experience of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, Random Forest etc. models
- Experience in data research with strong statistical skills
- Experience in software design and development using Python, Pandas and SQL / NoSQL
- Beneficial knowledge of data science packages, sk-learn, scipy, tensorflow, etc.
- An understanding of the horse racing industry
Quantitative Analyst
Sports Trading and Analytics Company
Hybrid - 3 days office, 2 days WfH
Up to £80,000 + bonus
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