At a Glance
- Tasks: Build quantitative models and tackle complex mathematical problems in sports analytics.
- Company: Dynamic sports analytics company with a team from top UK universities.
- Benefits: Flexible working hours, regular pay reviews, and a personal allowance for your needs.
- Other info: Hybrid working from London with excellent career growth opportunities.
- Why this job: Join a cutting-edge team and make an impact in the world of sports analytics.
- Qualifications: Strong background in statistical modelling; PhD or equivalent experience preferred.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for a sports-focussed Quantitative Analyst that is keen to take the next step in their career and focus on building quantitative models for this sports analytics company. Following the success of their team, they are looking to grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN.
This team works alongside the Data Scientists to build complex algorithms to support the mathematical and statistical problems.
- Own the full life cycle from concept, to research, through to productionisation and performance monitoring.
- Collaborate closely with data scientists and quant researchers to tackle complex mathematical and statistical problems, sharing methods and continuing the culture of ongoing research.
- Strong background in statistical and mathematical modelling.
- Ideally holding a PhD (or equivalent experience) in Physics, Mathematics, Statistics or a related discipline.
- Proficient in Python as your primary modelling tool; Hybrid working from London, with flexible working hours.
- Various other benefits, including a flexible allowance for you to use how you would prefer.
- Regular pay reviews and promotion opportunities.
Implementation Analyst (Hybrid) employer: Block MB
Join a dynamic sports analytics company that champions innovation and collaboration, where your expertise in quantitative analysis will thrive. With a strong emphasis on employee growth, you will benefit from regular pay reviews, flexible working arrangements, and a culture that encourages ongoing research and development alongside some of the brightest minds in the field. Located in London, this role offers a unique opportunity to contribute to cutting-edge projects while enjoying a supportive work environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Implementation Analyst (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on job openings and company culture.
✨Tip Number 2
Prepare for those interviews! Brush up on your statistical and mathematical modelling skills, and be ready to discuss your experience with Python. We recommend practising common interview questions related to quantitative analysis to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on relevant models or algorithms, make sure to highlight them in discussions. We love seeing real-world applications of your skills, so bring your A-game to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to contribute to our team.
We think you need these skills to ace Implementation Analyst (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Implementation Analyst role. Highlight your background in statistical and mathematical modelling, and don’t forget to mention any relevant projects or research you've done!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about sports analytics and how your experience makes you a perfect fit for our team. Be sure to mention your proficiency in Python and any collaborative projects you've worked on.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex mathematical or statistical problems in the past. We love seeing how you approach challenges, so don’t hold back on sharing your thought process!
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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Block MB
✨Know Your Numbers
Brush up on your statistical and mathematical modelling skills. Be ready to discuss specific models you've built or worked with, and how they apply to sports analytics. This will show your technical prowess and passion for the field.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists and quant researchers, prepare examples of past collaborations. Highlight how you tackled complex problems together and what methods you shared to enhance the team's research culture.
✨Demonstrate Your Python Proficiency
As Python is your primary modelling tool, be prepared to discuss your experience with it in detail. You might even want to bring along a project or two that showcases your coding skills and how you've used Python to solve real-world problems.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions in sports analytics. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
