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For Companies At a Glance
- Tasks: Develop statistical models to predict sports outcomes and solve complex problems.
- Company: Join a progressive sports betting hedge fund in London, focused on innovation and expertise.
- Benefits: Enjoy opportunities for career progression and collaboration with top industry talent.
- Why this job: Be part of a dynamic team tackling unique challenges in sports modelling and data analysis.
- Qualifications: 3+ years in sports betting, statistics degree, Python and TensorFlow skills required.
- Other info: No sponsorship available; ideal for those with a strong academic background and practical experience.
The predicted salary is between 43200 - 72000 £ per year.
Senior Quantitative Researcher is required for an exciting and progressive Sports betting Hedge fund Company based in London. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company around creating the best possible technical and cultural environment to enable you to rapidly explore and test alternative models.
You will join a highly skilled and experienced team answering a variety of complex sporting questions. You will work on building probabilistic models, the quality and evolution of which are central to the company’s success. You will find innovative ways of extracting information from various sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve difficult problems.
As Quantitative Researcher you will need:
- 3+ years experience within sports betting industry.
- Statistics graduate/post-graduate
- Electronic Trading Experience
- Python, TensorFlow
- Straight As at A level (or equivalent)
- Kaggle profile (or other practical statistical experience)
The Opportunity:
- Opportunities to progress your quantitative researcher career.
- Working in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking system.
- Working with some of the brightest Quants within the industry.
Senior Quantitative Analyst employer: Venture Up
Contact Detail:
Venture Up Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Analyst
✨Tip Number 1
Make sure to showcase your experience in the sports betting industry during networking events or informal meetups. Engaging with professionals in this niche can help you gain insights and potentially get referrals.
✨Tip Number 2
Join online forums or communities focused on quantitative analysis and sports betting. Participating in discussions can help you stay updated on industry trends and may lead to connections that could assist in your job search.
✨Tip Number 3
Consider contributing to open-source projects related to sports analytics or quantitative research. This not only enhances your skills but also demonstrates your commitment and expertise to potential employers.
✨Tip Number 4
Attend industry conferences or workshops where you can meet hiring managers and other quants. Building relationships in person can significantly increase your chances of landing an interview.
We think you need these skills to ace Senior Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the sports betting industry, particularly focusing on your skills with Python, TensorFlow, and any relevant statistical models you've worked on. Use specific examples to demonstrate your expertise.
Craft a Strong Cover Letter: In your cover letter, express your passion for sports modelling and how your background aligns with the company's goals. Mention your experience with electronic trading and any notable projects or achievements that showcase your quantitative skills.
Showcase Relevant Projects: If you have a Kaggle profile or similar practical statistical experience, include links to your projects or competitions. Highlight any innovative solutions you've developed in the sports betting domain to stand out from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a role that involves complex statistical modelling.
How to prepare for a job interview at Venture Up
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, R, and TensorFlow during the interview. Be prepared to discuss specific projects where you've used these tools, especially in relation to statistical modelling and data analysis.
✨Demonstrate Your Sports Knowledge
Since this role is focused on sports betting, it's crucial to demonstrate your understanding of the sports industry. Be ready to discuss recent trends, key statistics, and how they can impact betting outcomes.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios related to sports modelling. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to tackle challenging questions.
✨Highlight Your Collaborative Experience
This position involves working within a skilled team, so be sure to share examples of how you've successfully collaborated with others in previous roles. Emphasise your ability to communicate effectively and contribute to a positive team environment.
