▷ [Aplicar en 3 Minutos] Quantitative Researcher | [J-147]

Venture Up; Madrid; Presencial; GBP 75.000 - 85.000; Jornada completa

Descripción de la vacante

An exciting opportunity awaits as a Quantitative Researcher at a progressive Sports Betting Hedge Fund. Join a highly skilled team dedicated to developing innovative statistical models that predict sports outcomes. This role offers a unique chance to leverage your coding expertise and analytical skills in a challenging environment. You’ll work with cutting-edge tools and collaborate with some of the brightest minds in the industry. If you have a passion for sports and quantitative analysis, this is the perfect opportunity to advance your career in a dynamic and rewarding field.

Formación

• 3+ years experience in coding and software design.
• Experience in electronic trading and statistical modelling.

Responsabilidades

• Develop statistical models to compute probabilities of sports outcomes.
• Extract information from various sporting and market data sources.

Conocimientos

Python

R

TensorFlow

Statistical Modelling

Data Extraction

Educación

PhD in Computer Science

PhD in Maths

Straight As at A level

Herramientas

Pandas

SQL

NoSQL

Descripción del empleo

Quantitative Researcher – Sports Betting Hedge Fund – Madrid

Salary - £75-85k + Bonus

Skills: Python stack (numpy, pandas etc.), R, TensorFlow.

Job Summary

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 Quantitative Researcher you will need:

1. PhD in Computer Science, Maths or similar STEM discipline
2. 3+ years experience in coding
3. Electronic Trading Experience
4. Experience in software design and development using Python, Pandas, and SQL/NoSQL, TensorFlow
5. Straight As at A level (or equivalent)
6. Kaggle profile (or other practical statistical experience)

The Opportunity

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