At a Glance
- Tasks: Build quantitative models and tackle complex sports analytics challenges.
- Company: Dynamic sports analytics company with a focus on innovation.
- Benefits: Flexible working hours, regular pay reviews, and a personal allowance.
- Other info: Hybrid working from London with excellent career growth opportunities.
- Why this job: Join a team of top talent and make an impact in 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) in London 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) in London
✨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 when talking about your past work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who are eager to grow with us in the world of sports analytics.
We think you need these skills to ace Implementation Analyst (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Implementation Analyst. Highlight your experience in statistical and mathematical modelling, and don’t forget to mention any relevant projects or research that align with our focus on sports analytics.
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 background makes you a perfect fit for our team. Be sure to mention any collaborative experiences you've had with data scientists or quant researchers.
Showcase Your Skills:We want to see your proficiency in Python! If you’ve worked on any projects or models using Python, make sure to include those details. It’s all about demonstrating your technical skills and how they can contribute to our team.
Apply Through Our Website:Don’t forget to apply 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 shows you’re not just a numbers person, but someone who can translate complex data into actionable insights.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists and quant researchers, prepare examples of past collaborations. Highlight how you’ve tackled complex problems as part of a team, and be ready to discuss how you can contribute to a culture of ongoing research.
✨Demonstrate Your Python Proficiency
As Python is your primary modelling tool, be prepared to talk about your experience with it. Consider discussing specific libraries or frameworks you’ve used in your projects. If possible, bring along a portfolio of your work to showcase your coding skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals. This not only shows your interest in the role but also demonstrates your understanding of the industry. It’s a great way to engage with the interviewers and leave a lasting impression.
