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- Tasks: Build predictive models for sports outcomes and analyse real-world data.
- Company: Dynamic investment firm with a collaborative, non-corporate culture.
- Benefits: Competitive salary, health insurance, gym access, and team outings.
- Why this job: Shape the future of trading strategies in a creative and impactful environment.
- Qualifications: MSc or PhD in a quantitative field and strong coding skills in Python.
- Other info: Enjoy high autonomy and excellent career growth opportunities in Central London.
The predicted salary is between 86000 - 129000 £ per year.
Join a City-based investment firm using advanced statistics and data science to model sporting outcomes. With a lean team and flat structure, you’ll own your work end-to-end — from research through to production — in an environment that values rigour, creativity, and impact.
This is a chance to work directly with traders and researchers in a collaborative, non-corporate setup where your code and ideas will shape the future of their trading strategies.
The Role- Build predictive models for sports outcomes (e.g. football, cricket, tennis)
- Analyse real-world data using advanced stats and probabilistic reasoning
- Work cross-functionally with trading and software teams
- Deploy models that directly inform trading decisions globally
- MSc or PhD in a quantitative/STEM field (Maths, Stats, Physics, Engineering)
- 5+ years’ experience in data/quant-focused roles
- Strong coding in Python (R and MATLAB welcome; C# desirable)
- Solid understanding of statistics and probability
- Professional experience working with messy, real-world datasets
- Interest in sports
- Salary: £100,000 – £150,000 + bonus (10–20%, paid twice yearly)
- Location: Central London – 5 days onsite (sensible flex when needed but do value in person time) - great office location, setup and culture
- Visa: Sponsorship available
- Benefits: Health insurance, pension, gym access during working hours, team outings, flat structure, high autonomy
Interested? Please apply below.
Senior Quant Analyst in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm or similar companies on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. This is your chance to demonstrate your coding prowess and understanding of statistics in a way that stands out.
✨Tip Number 3
Prepare for the interview by brushing up on your sports knowledge! Being able to discuss recent games or stats can show your passion and help you connect with the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Quant Analyst in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills, especially in Python, as well as your experience with statistics and data analysis. We want to see how your background aligns with the role of a Senior Quant Analyst.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect your interest in sports and how your expertise can contribute to our trading strategies. We love creativity and personal touches!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important details about the role!
How to prepare for a job interview at Harnham
✨Know Your Stats
Brush up on your statistics and probability knowledge. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in sports analytics. Prepare examples of predictive models you've built and the impact they had.
✨Showcase Your Coding Skills
Since strong coding in Python is a must, make sure you can demonstrate your proficiency. Bring along code samples or be prepared to solve coding challenges during the interview. Familiarise yourself with common libraries used in data analysis.
✨Understand the Business
Research the investment firm and their trading strategies. Understand how your role as a Senior Quant Analyst will directly influence their decisions. This shows your genuine interest and helps you align your skills with their needs.
✨Be Ready for Collaboration
This role involves working closely with traders and software teams. Prepare to discuss your experience in cross-functional teams and how you’ve effectively communicated complex ideas to non-technical stakeholders. Highlight your collaborative spirit!
