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- Tasks: Build predictive models for sports outcomes and analyse real-world data.
- Company: Dynamic investment firm in Central London with a collaborative culture.
- Benefits: Competitive salary, bonuses, and a range of benefits in a high-autonomy environment.
- Why this job: Join a cutting-edge team and influence trading strategies in the exciting world of sports.
- Qualifications: MSc or PhD in a quantitative field and strong Python programming skills.
- Other info: Ideal for those seeking autonomy and growth in a fast-paced industry.
The predicted salary is between 80000 - 120000 £ per year.
A City-based investment firm in Central London is seeking a data scientist to build predictive models for sports outcomes. The role involves analyzing real-world data, working closely with traders, and deploying models to inform trading strategies.
The ideal candidate has an MSc or PhD in a quantitative field and 5–10 years of experience. Strong programming skills in Python are essential, with a salary range of £100,000 – £150,000 plus bonuses. This position offers a collaborative environment with high autonomy and various benefits.
Senior Quant Analyst, Sports Markets | End-to-End Modelling in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Analyst, Sports Markets | End-to-End Modelling in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the sports analytics field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. This is your chance to demonstrate your Python prowess and quantitative expertise in a way that stands out.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of sports markets and trading strategies. We want you to be able to discuss how your models can impact trading decisions confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Quant Analyst, Sports Markets | End-to-End Modelling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative analysis and programming. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about sports markets and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since strong programming skills in Python are essential, make sure to mention any relevant projects or experiences that demonstrate your expertise. We love seeing practical applications of your skills!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Numbers
As a Senior Quant Analyst, you'll need to demonstrate your analytical skills. Brush up on key statistical concepts and be ready to discuss how you've applied them in real-world scenarios. Prepare examples of predictive models you've built and the impact they had on trading strategies.
✨Showcase Your Programming Skills
Since strong programming skills in Python are essential, make sure you can talk about your experience with it confidently. Be prepared to discuss specific projects where you've used Python for data analysis or model deployment. If possible, bring along a portfolio or code snippets to showcase your work.
✨Understand the Sports Markets
Familiarise yourself with the sports markets relevant to the firm. Research recent trends, major events, and how data analytics is shaping betting strategies. This will not only show your passion for the role but also your ability to apply quantitative analysis in a practical context.
✨Prepare for Collaboration Questions
This role involves working closely with traders, so expect questions about teamwork and collaboration. Think of examples where you've successfully worked in a team to solve complex problems. Highlight your communication skills and how you can translate complex data insights into actionable strategies for non-technical stakeholders.
