At a Glance
- Tasks: Build and improve sports prediction models using cutting-edge data techniques.
- Company: Leading sports betting brokerage software provider based in London.
- Benefits: Flexible working hours and opportunities for career progression.
- Other info: Dynamic environment with access to advanced data and innovative projects.
- Why this job: Join a team of top Quants and make an impact in the sports betting industry.
- Qualifications: 3+ years experience in the sports betting industry required.
The predicted salary is between 75000 - 100000 £ per year.
Job DescriptionQuantitative Analyst – Sports betting - London*Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*Job SummaryQuantitative Analyst is required for one of the leading providers of sports betting brokerage software in the world. The company is based in London and offers flexible working hours. You will be working with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing the company to test their hypotheses in a live environment.As Graduate Quantitative Analyst you will need:3+ years commercial experience working in sports betting industry.Responsibilities and DutiesYour day-to-day duties and responsibilities will include, but won't be limited to building and improving sports prediction modelsTo research recent advances in Bayesian updating to better extract signals from noisy dataTo design and build your own models using your own ideasTo work closely with expert traders and developers to improve your modelsThe OpportunityOpportunities to progress your quantitative developer careerWorking in GLMs, BMMs, Kalman filters, MCMC and the TrueSkill Ranking systemWorking with some of the brightest Quants within the industry.Job InformationIndustry Technology Salary 75-100k Date Opened 07/21/2026 Job Type Permanent City London State/Province Greater London Country United Kingdom Zip/Postal Code NW5 1TL
Implementation Analyst (Hybrid) in London employer: Venture Up
Venture Up offers an exceptional work environment for Quantitative Researchers, fostering a culture of innovation and collaboration within a prestigious Oxford hedge fund. Employees benefit from autonomy in their projects, access to advanced analytics tools, and opportunities for professional growth, all while contributing to impactful trading strategies in a dynamic market. The greenfield setting encourages creativity and the exploration of new ideas, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Implementation Analyst (Hybrid) in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Venture Up.
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We think you need these skills to ace Implementation Analyst (Hybrid) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Venture Up, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Venture Up. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Venture Up
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Venture Up!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
