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- Tasks: Analyse sports data and develop predictive models to influence trading strategies.
- Company: Leading investment firm in Central London with a collaborative culture.
- Benefits: Competitive compensation and various attractive benefits.
- Why this job: Join a dynamic team and make an impact on global trading through sports analytics.
- Qualifications: 5+ years in data roles, strong quantitative background, Python proficiency, and sports interest.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading investment firm in Central London is looking for a skilled data scientist with experience in predictive modeling for sports outcomes. You will work closely with traders in a collaborative environment, using your expertise to analyze real-world data and deploy models that impact global trading strategies.
Candidates should have at least 5 years of experience in data-driven roles and a strong academic background in a quantitative field. An interest in sports and proficiency in Python are essential. This position offers competitive compensation and various benefits.
Senior Quant Analyst—Sports Trading Models & Impact in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Analyst—Sports Trading Models & Impact in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the sports trading and data science fields. Use platforms like LinkedIn to connect with people who work at the firm you're eyeing. A friendly chat can sometimes lead to opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses related to sports outcomes. This will not only demonstrate your expertise but also your passion for the field. Make sure to highlight any projects that had a real impact on trading strategies.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding of sports analytics. Be ready to discuss how you've used data to influence decisions in previous roles. We want to see your thought process and how you tackle problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you on board!
We think you need these skills to ace Senior Quant Analyst—Sports Trading Models & Impact in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in predictive modelling and data analysis. We want to see how your skills can impact our trading strategies, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your interest in sports and how it ties into your quantitative background. We love seeing candidates who align with our values!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at Harnham
✨Know Your Models Inside Out
Make sure you can discuss your predictive models in detail. Be prepared to explain the methodologies you've used, the data sources, and how your models have impacted trading strategies in the past. This shows your depth of knowledge and practical experience.
✨Show Your Passion for Sports
Since this role is focused on sports trading, demonstrate your genuine interest in sports. Share examples of how your passion has influenced your work or decision-making in previous roles. This will help you connect with the interviewers on a personal level.
✨Brush Up on Python Skills
As proficiency in Python is essential, be ready to discuss your coding experience. You might even be asked to solve a problem on the spot, so practice common data manipulation tasks and model deployment scenarios to showcase your skills effectively.
✨Prepare for Collaborative Scenarios
Since you'll be working closely with traders, think of examples where you've successfully collaborated in a team setting. Highlight your communication skills and how you’ve translated complex data insights into actionable strategies that others can understand and implement.
