Quantitative Researcher

buscojobs España; Sevilla; Presencial; GBP 75.000 - 85.000; Jornada completa

Descripción de la vacante

A leading sports betting hedge fund is seeking a Quantitative Researcher to develop statistical models and explore innovative data solutions. Join an exceptional team in Madrid, leveraging your expertise to solve complex questions in sports modelling. Opportunities for career progression and collaboration with top-tier professionals await you.

Servicios

Opportunities for career progression

Collaborate with top Quants in the industry

Formación

• 3+ years experience in coding required.
• Kaggle profile or practical statistical experience preferred.

Responsabilidades

• Develop statistical models to compute probabilities of sports outcomes.
• Innovate and extract data from various sporting and market data sources.
• Work on quality and evolution of probabilistic models.

Conocimientos

Statistical Modelling

Python

Experience with TensorFlow

SQL / NoSQL

Data Analysis

Educación

PhD in Computer Science, Maths, or similar STEM discipline

Straight As at A level (or equivalent)

Herramientas

Pandas

Electronic Trading Software

Descripción del empleo

Quantitative Researcher – Sports Betting Hedge Fund – Madrid

Salary - £75-85k + Bonus

Job Summary

A Quantitative Researcher is required for an exciting and progressive Sports Betting Hedge Fund Company with offices in London and Madrid. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise, and the company is structuring itself around creating the best possible technical and cultural environment to enable you to rapidly explore and test alternative models. 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.

As a Quantitative Researcher, you will need :

• PhD in Computer Science, Maths, or similar STEM discipline
• 3+ years experience in coding
• Electronic Trading Experience
• Experience in software design and development using Python, Pandas, SQL / NoSQL, TensorFlow
• Straight As at A level (or equivalent)
• Kaggle profile (or other practical statistical experience)

The Opportunity

• Opportunities to progress your quantitative developer career.
• Working with GLMs, BMMs, Kalman filters, MCMC, and the TrueSkill Ranking system
• Working with some of the brightest Quants within the industry.

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