quantitative researcher

Paradine; Leeds; On-site; GBP 60,000 - 90,000; Full time

Job summary

Paradine, a sports data analytics company, is seeking a Quantitative Researcher to Leeds or London. You will work with vast data sets and build probabilistic models that drive sporting insight and opinion. Teams are small and flexible to tackle projects and extract information to better predict outcomes.

You should have strong maths/ stats grounding, experience with Python (numpy/pandas), and familiarity with R. Knowledge of probability theory and Bayesian methods is valuable.

Qualifications

• Degree (2:1 or higher) in STEM subject.
• Strong mathematical skills.
• Understanding of probability theory and Bayesian statistics.
• Experience using Python.
• Ability to write high-quality, readable code.

Responsibilities

• Build probabilistic models to predict sports outcomes.
• Work with large data sets and diverse data sources.
• Collaborate with cross‑functional teams to solve problems.

Skills

Mathematics

Probability theory

Bayesian statistics

Python

Readable code

Education

STEM degree (2:1+)

Tools

NumPy/Pandas

R

Job description

Vacancy Quantitative Researcher Location — Leeds or London Salary — Competitive

Quantitative Researchers at Paradine work with vast data sets and build the probabilistic models that drive our sporting insight and opinion. Teams are small, focused and have freedom and flexibility in how they tackle their projects to find novel ways of harnessing data to better predict outcomes.

Qualifications and Skills

• Degree (2:1 or higher) in STEM subject


• Strong mathematical skills


• Understanding of probability theory and Bayesian statistics


• Experience using Python


• Ability to write high-quality, readable, maintainable code

Why this role? As a Quant at Paradine you will join a highly skilled and experienced team answering a variety of complex sporting questions. You will work on building probabilistic models, the quality and evolution of which are central to the company’s success. You will find innovative ways of extracting information from various sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve difficult problems.

Your skills You should have a strong grounding in mathematics and/or statistics to degree level or higher. You should have experience with the typical Python stack (numpy, pandas etc.), R and other statistical software and be able to write high-quality, maintainable code. Whilst not an absolute requirement, some knowledge of sports or experience working with sporting data will be valuable. You will keep yourself up to date with best practice in the field and always be looking to find new skills and tools.

Your approach Beyond Your Technical Skills And Experience you should be a strong critical thinker and problem solver. You should be rigorous and sceptical in your approach to data; creative and open-minded in searching for novel approaches and highly committed, taking ownership of your results. Our Quant teams are highly collaborative and work closely with other teams so cross‑business communication skills are also highly valued.

Get in touch for further details or see 'Our People' to find out more about life at Paradine, our benefits and policies.

Paradine - 3rd Floor, One Sovereign Quay, Bridge End, Leeds, West Yorkshire, LS14RA

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