Venture Up
Quantitative Researcher
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Quantitative Researcher
Cricket Quantitative Researcher | Sports Betting Hedge Fund | London or Leeds
Technical Skills: Python • TensorFlow • Statistics • Sports Modelling
⚠️ Important: This role cannot offer visa sponsorship. Applications requiring sponsorship cannot be considered.
We’re partnering with a cutting-edge sports betting hedge fund based in London or Leeds, developing some of the most sophisticated predictive models in the industry. If you have a passion for statistics, machine learning, and cricket analytics, this is the opportunity to contribute to high-impact research that directly drives trading performance.
About the Role
- Build and refine probabilistic models to predict sports outcomes (“cricket” expertise is highly desirable).
- Extract actionable insights from large-scale sports and market datasets.
- Research, test, and deploy innovative modelling approaches.
- Collaborate with elite quants, researchers, and traders to solve complex real-world problems.
- Work in a data-driven culture that values experimentation and continuous improvement.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your Responsibilities
- Develop and refine probabilistic models for sports predictions.
- Extract deep insights from vast sports and market datasets.
- Research, experiment with, and deploy powerful modelling techniques.
- Work alongside a team of top-tier quants, researchers, and traders on real-world challenges.
- Drive impact by improving trading strategies through your research.
Requirements
Experience & Background
- 2+ years of experience in the sports betting industry (preferable).
- Strong academic background in:
- Statistics
- Mathematics
- Related quantitative fields.
- Experience in electronic trading environments desirable.
- Advanced Python skills (NumPy, Pandas, TensorFlow demanded).
Academic & Technical Proficiency
- Excellent academic track record (top grades throughout education).
- Demonstrable hands-on modelling/research experience (e.g., Kaggle competitions).
- Proficiency in at least some of these exposure areas (see below) is a plus.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desired Skills
- Cricket knowledge or analytical expertise (highly desirable).
- Strong interest in statistical modelling and predictive analytics.
Exposure To
Theoretical & Technical Tools
- Generalised Linear Models (GLMs)
- Bayesian Modelling Methods (BMMs)
- Kalman Filters
- MCMC Techniques
- TrueSkill Ranking Systems
- Advanced sports forecasting and pricing models
Why Join Us?
✅ Solve some of the ** ngành’s most challenging quantitative problems**. ✅ Work alongside exceptional quants and researchers—each with diverse value. ✅ Take significant ownership of live trading strategies. ✅ Clear progression opportunities within a fast-growing quantitative team. ✅ A highly technical, research-driven environment fosters growth and innovation.
##To Apply
If you’re a quantitatively minded researcher with a passion for sports modelling—especially cricket—we’d love to hear from you!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location