Sports Trading Quantitative Analyst

Spectrum IT Recruitment; City Of London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Spectrum IT Recruitment in London is seeking a Quantitative Analyst to join a talented sports trading team. You’ll work with large datasets, building and refining quantitative models and applying statistical methods to uncover patterns and opportunities.

You will collaborate with analysts, developers and traders to enhance models and support data‑driven decisions using historical and live data. A strong maths/tech foundation and a passion for sports data are essential.

Qualifications

• Strong mathematical and statistical ability.
• Experience with large datasets and performing quantitative analysis.
• Strong understanding of probability and statistics.
• Experience with mathematical modelling and data analysis.
• Proficiency in programming languages such as Python, C#, C++ or Java.
• Strong analytical and problem‑solving skills.
• Excellent attention to detail and accuracy.
• Ability to work independently while also contributing effectively within a team.
• Strong communication skills.

Responsibilities

• Analyse and interpret large and complex sports datasets.
• Develop and improve mathematical and statistical models.
• Apply probability and statistical techniques to sports data.
• Identify patterns, trends and opportunities within large datasets.
• Work closely with analysts, developers and traders to improve quantitative models.
• Use data science techniques to support trading strategies and decision‑making.
• Build, test and validate models using historical and live data.
• Continuously assess model performance and identify areas for improvement.
• Present analytical findings clearly to both technical and non‑technical stakeholders.
• Contribute to the development of tools and processes used within the trading environment.

Skills

Mathematics & statistics

Quantitative analysis

Large datasets

Probability & statistics

Programming (Python, C#, C++, Java)

Analytical thinking

Attention to detail

Independent working

Communication skills

Education

Degree or postgraduate qualification in a quantitative subject

Tools

Python

C#

C++

Java

Job description

An excellent opportunity has arisen for a Quantitative Analyst to join a highly talented team within the sports trading industry in central London.

You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play an important role in improving models and supporting data-driven decision‑making.

This is an exciting opportunity for a quantitatively minded individual who is passionate about mathematics, statistics, data and sport and wants to develop their career within a fast‑paced sports trading environment.

Key Responsibilities

• Analyse and interpret large and complex sports datasets.


• Develop and improve mathematical and statistical models.


• Apply probability and statistical techniques to sports data.


• Identify patterns, trends and opportunities within large datasets.


• Work closely with analysts, developers and traders to improve quantitative models.


• Use data science techniques to support trading strategies and decision‑making.


• Build, test and validate models using historical and live data.


• Continuously assess model performance and identify areas for improvement.


• Present analytical findings clearly to both technical and non‑technical stakeholders.


• Contribute to the development of tools and processes used within the trading environment.

Skills & Experience

Essential

• Strong mathematical and statistical ability.


• Experience working with large datasets and performing quantitative analysis.


• Strong understanding of probability and statistics.


• Experience with mathematical modelling and data analysis.


• Proficiency in one or more programming languages such as Python, C#, C++ or Java.


• Strong analytical and problem‑solving skills.


• Excellent attention to detail and accuracy.


• Ability to work independently while also contributing effectively within a team.


• Strong communication skills.

Desirable

• Degree or postgraduate qualification in a quantitative subject such as Mathematics, Statistics, Computer Science, Physics, Engineering or a related discipline.


• Experience in data science or quantitative research.


• Experience working with sports data.


• Knowledge or experience of sports trading, sports betting or related quantitative environments.


• Experience developing predictive or statistical models.


• Understanding of machine learning techniques.

About You

We are looking for a forward‑thinking, analytical and highly numerate individual who enjoys working with data and solving complex problems.

You will be naturally curious, commercially minded and comfortable working in a fast‑paced environment where accuracy and analytical thinking are essential.

Previous experience within sports trading is highly desirable, but strong quantitative candidates with a genuine interest in sports and an excellent technical foundation will also be considered.