Sports Quantitative Analyst - Graduate Level in London
TargetJobs UK London About the role
The Quant team at Mustard Systems create predictive models that are globally recognised as best-in‑class.
We use cutting‑edge statistical methods to model cricket and trading strategies, often developing our own techniques.
We answer the questions captains, pundits and traders argue about: What strategy would be best in this situation?
How do matchups affect the game?
Who are the best players really?
We're looking for talented individuals to join our team.
What you can expect?
- To research recent advances in modelling to better extract signals from noisy data
- To join a close‑knit, collaborative team of mathematicians and enjoy a high level of responsibility from an early stage
- To design and build your own models using your own ideas
- To work closely with expert traders and developers to improve your models
- Learn to build the best models from experienced quants
What we're looking for?
- A 1st class degree from a top university or a 2:1 from Oxbridge.
- Degree‑level study in statistics and probability theory.
- Intellectual curiosity, creativity and confidence to try new approaches.
- Excellent problem solving and communication skills.
- An interest in sports or competitive games. No cricket knowledge required!
Benefits
- Hybrid working environment. We're in the office every Monday, Tuesday and Thursday, and work from home every Wednesday and Friday.
- Work on cutting‑edge systems in a competitive and innovative field.
- Collaborate with a smart, driven team, where your contributions directly impact business performance.
- Opportunity to drive the company’s technical direction and double its revenue in the next three years.
- Comprehensive Benefits, Including
- Competitive salary and significant bonus potential
- Enhanced pension match with salary sacrifice option.
- Health insurance and life assurance.
- Sabbatical leave after five years.
- 33 days of annual leave (including bank holidays)
- #J-18808-Ljbffr
Your tasks
Create predictive models for cricket and trading strategies using cutting-edge statistical methods.
Your profile
1st class degree or 2:1 from Oxbridge, with a focus on statistics and problem-solving skills.
What's also included
Enjoy hybrid working, competitive salary, bonuses, and 33 days of annual leave.
Tech stack & ways of working
Sports Quantitative Analyst - Graduate Level in London employer: TargetJobs UK
At targetjobs UK, we pride ourselves on being an excellent employer, offering a supportive work culture that fosters innovation and collaboration. Our Graduate Fire Engineer role not only provides competitive benefits such as 25 days holiday and flexible working options but also presents unique opportunities for professional growth in the thriving Cherwell District. Join us to make a meaningful impact in fire safety while enjoying a balanced work-life environment.
Your perspectives
Make a real impact in sports analytics while collaborating with a talented team.
StudySmarter Expert Advice
Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like TargetJobs UK when you're aiming for that entry-level role.
Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like TargetJobs UK.
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Some tips for your application 🫡
Show Off Your Data Skills
As you're aiming for an entry-level data science role at TargetJobs UK, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects
If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter
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How to prepare for a job interview at TargetJobs UK
Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
Locations
- London
