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- Tasks: Build predictive models for sports outcomes using advanced statistical techniques.
- Company: Join a leading global investment firm focused on sports trading across major leagues.
- Benefits: Competitive salary up to £100,000 and a dynamic, collaborative work environment.
- Why this job: Shape trading strategies in a fast-paced, innovative team while working with real-world sports data.
- Qualifications: MSc or PhD in relevant fields; strong coding skills in Python and SQL required.
- Other info: This role is fully onsite in London, perfect for those passionate about sports and data.
The predicted salary is between 72000 - 120000 £ per year.
Job Description
Quantitative Analyst/Data Scientist – Investments
London – Hybrid
Up to £100,000 + Bonus
About the Role
We are working with an investment company specialising in the credit and lending space.
They are seeking a Quantitative Analyst/Data Scientist to join their growing Credit & Asset-Backed Finance team. This is an opportunity to be part of a specialist group focused on complex, non-corporate credit opportunities across asset-backed finance, lending, and other structured credit situations.
You’ll play a key role in shaping the quantitative capability behind high-value investment decisions, working across modelling, valuation, data infrastructure, and portfolio analytics.
Key Responsibilities
- Building and implementing quantitative models to support pricing, valuation, and risk assessment across asset-backed and structured finance investments.
- Conducting deep-dive analysis into granular loan-level datasets (e.g. consumer, SME, mortgages, receivables) to support investment selection and portfolio monitoring.
- Developing and enhancing analytical tools and systems used to store, process, and monitor investment-related data.
- Working closely with investment, risk, and operations teams to optimise deal structures and maintain robust monitoring frameworks.
- Tracking market movements, regulatory changes, and sector trends to provide insights and recommendations to senior stakeholders.
- Supporting the full investment cycle, from origination and underwriting through to ongoing performance reviews and committee updates.
- Collaborating with colleagues across the wider investment platform to share knowledge and drive best practice.
What We’re Looking For
- Master’s or PhD in Mathematics, Statistics, Physics, Engineering, or another quantitative discipline.
- At least 3 years’ experience in asset-backed finance, structured credit, quantitative analysis, data science, or credit risk.
- Strong experience working with granular loan-level datasets across consumer, SME, real estate, or receivables portfolios.
- Proficiency in Python and a strong command of statistical and financial modelling techniques.
- A solid understanding of asset-backed finance structures and market dynamics.
- Excellent problem-solving skills and strong attention to detail.
- Ability to communicate complex ideas clearly to both technical and non-technical audiences.
- A proactive, high-ownership mindset suited to a fast-paced investment environment.
If this role looks of interest, apply here.
Quantitative Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics and machine learning. This will not only help you understand the industry better but also give you talking points during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the sports trading and quantitative analysis fields. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights into the role.
✨Tip Number 3
Brush up on your coding skills, particularly in Python and SQL. Consider working on personal projects or contributing to open-source projects that involve predictive modelling, as this practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to statistical modelling and data analysis. Websites like LeetCode or HackerRank can be great resources to sharpen your skills.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience and skills related to quantitative analysis, machine learning, and statistical techniques. Emphasise any projects or roles where you've developed predictive models or worked with sports data.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're interested in the Quantitative Analyst position. Mention your passion for sports trading and how your background in mathematics and statistics makes you a great fit for the role.
Showcase Technical Skills: Clearly outline your coding skills in Python and SQL in your application. Provide examples of how you've used these languages in previous projects, especially in relation to developing mathematical models or analysing data.
Highlight Collaboration Experience: Since the role involves working closely with other researchers and developers, include examples of past collaborative projects. This will demonstrate your ability to thrive in a fast-paced, team-oriented environment.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in Python and SQL. You might be asked to solve a technical problem or demonstrate your understanding of statistical techniques, so brush up on relevant concepts and be ready to showcase your expertise.
✨Demonstrate Your Analytical Thinking
Since the role involves developing predictive models, be ready to explain your thought process when analysing sports data. Share examples of how you've uncovered patterns in data and how those insights informed your decisions in previous projects.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex mathematical concepts in simple terms, as you may need to collaborate with team members from different backgrounds. Clear communication can set you apart from other candidates.
✨Stay Updated on Sports Trends
Familiarise yourself with current trends in sports trading and data analysis. Being knowledgeable about recent developments in the industry can help you engage in meaningful discussions during the interview and demonstrate your passion for the field.
