Quantitative Researcher

JR Spain; Madrid; Presencial; GBP 75.000 - 85.000; Jornada completa

Descripción de la vacante

An exciting opportunity awaits at a progressive Sports Betting Hedge Fund in Madrid, where you will work as a Quantitative Researcher. This role involves developing advanced statistical models to predict sports outcomes, utilizing your expertise in Python and R. Join a dynamic team that fosters innovation, enabling rapid exploration of alternative models. You will face complex challenges, applying your judgment and creativity to extract insights from diverse sporting and market data sources. This is a chance to advance your career in a cutting-edge environment while collaborating with some of the brightest minds in quantitative research.

Formación

• PhD in a related STEM discipline required.
• 3+ years coding experience in electronic trading.

Responsabilidades

• Develop statistical models to compute probabilities of sports outcomes.
• Collaborate with a skilled team to tackle complex sporting questions.

Conocimientos

Python

R

TensorFlow

SQL/NoSQL

numpy

pandas

Educación

PhD in Computer Science

PhD in Mathematics

Descripción del empleo

Job Title: Quantitative Researcher – Sports Betting Hedge Fund – Madrid

Salary: £75-85k + Bonus

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

Job Summary

We are seeking a Quantitative Researcher for an exciting and progressive Sports Betting Hedge Fund with offices in London and Madrid. You will develop statistical models to compute the probabilities of outcomes in various sports.

Sports modeling is their core expertise. The company fosters a technical and cultural environment that enables rapid exploration and testing of alternative models. You will join a highly skilled team tackling complex sporting questions, building probabilistic models central to the company's success, and extracting information from diverse sporting and market data sources.

Modeling and predicting sports outcomes is a challenging field, offering opportunities to apply your experience, judgment, and creativity to solve difficult problems.

Qualifications

• PhD in Computer Science, Mathematics, or a related STEM discipline
• At least 3 years of coding experience in electronic trading
• Experience in software design and development using Python, Pandas, SQL/NoSQL, TensorFlow
• Excellent academic record (Straight As at A level or equivalent)
• Kaggle profile or other practical statistical experience

Opportunities

• Career progression in quantitative development
• Work with advanced models such as GLMs, BMMs, Kalman filters, MCMC, and TrueSkill Ranking system
• Collaborate with some of the brightest quantitative professionals in the industry