Sports Trading Quantitative Analyst
Spectrum IT Recruitment · London · posted 9 days ago
Going rate £34,900UK median £38,572London £43,058
Home Office going rates
Occupation
Going rate for this occupation: £34,900 · UK median pay £38,572
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£70,000 to £90,000stated · above the range ONS published
- Going rate£34,900
- UK median£38,572
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £27,338 |
| 25th | £30,835 |
| 50th | £38,572 |
| 75th | £47,045 |
| Going rate | £34,900 |
| UK median | £38,572 |
Sponsorship
Sponsorship chance
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- A recruitment agency posted this advert, so the employer who would hold the licence is not named.
Why
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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.
Information from public records, not immigration advice.