At a Glance
- Tasks: Develop and enhance football models while analysing complex datasets.
- Company: Fast-growing tech and data analytics business with a collaborative culture.
- Benefits: Competitive salary, private healthcare, wellness benefits, and generous holiday allowance.
- Other info: Onsite role in London with excellent career growth opportunities.
- Why this job: Join a dynamic team and work on cutting-edge quantitative modelling projects.
- Qualifications: Experience in Python or R, with strong statistical modelling skills.
The predicted salary is between 80000 - 300000 £ per year.
My client, a fast-growing technology and data analytics business, is looking for a Systems Modeller to join its quantitative research team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions.
Key Responsibilities
- Develop and enhance football modelling and statistical analysis systems
- Acquire, clean, and process data from multiple sources
- Analyse trends and patterns within complex datasets
- Build automation and data processing tools
- Support back-testing, simulations, and performance analysis
- Identify opportunities for process and model improvements
- Collaborate closely with data scientists and software engineers
Requirements
- Commercial experience using Python, R, or similar programming languages
- Experience developing football models within industry environments
- Strong statistical modelling and data analytics skills
- Excellent analytical and problem-solving ability
- Strong communication and collaboration skills
What’s on Offer
- £80k-£300k salary plus discretionary bonus
- Onsite role in London
- Private healthcare, dental, and wellness benefits
- Pension scheme and generous holiday allowance
- Collaborative and highly technical working environment
- Opportunity to work on cutting-edge quantitative modelling projects
Quantitative Developer in London employer: Platform Recruitment
As an Electronics Engineer at our Cambridge location, you will be part of a dynamic team that values innovation and collaboration, offering a stimulating work environment where your contributions directly impact high-performance electronic systems. We provide competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that you can advance your career while enjoying a supportive and inclusive workplace culture.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Platform Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Developer at Platform Recruitment.
✨Leverage Professional Networks
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 Platform Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Developer at Platform Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Developer 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 Platform Recruitment, 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 Platform Recruitment. 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 Platform Recruitment
✨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 Platform Recruitment!
✨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.
