Junior Quantitative Analyst

Huddle; Roma; Ibrido; EUR 30.000 - 45.000; Tempo pieno

Descrizione del lavoro

A software development company in Rome is seeking a Junior Quantitative Analyst to work alongside expert quants on developing algorithms for sports odds. This role involves conducting analyses, enhancing quantitative skills, and contributing to a data-driven culture. Ideal candidates have a degree in a quantitative field, strong analytical skills, and an interest in sports. Opportunities for flexible working and professional development are provided.

Servizi

Working on cutting-edge technology

Flexible working - combine working from home and the office

Annual educational budget of €1000

Opportunities for occasional business travel

25 vacation days

Competenze

• Degree in a quantitative subject (Mathematics, Physics, Statistics).
• Strong knowledge of probability theory and statistics.
• Exposure to OO programming language (Java, C#, C++, Scala, Python).
• Analytically minded with ability to solve complex challenges.
• Interest in sports and competitive games.
• Proficiency in English.

Mansioni

• Collaborate with the Lead Quantitative Analyst on algorithms for odds compilation.
• Conduct research on predictive models for customer analytics.
• Generate ad-hoc analyses and reports with actionable recommendations.
• Enhance understanding of sports and software engineering.

Conoscenze

Quantitative analysis

Programming (Java, C#, C++, Scala, Python)

Statistical knowledge

Probability theory

Formazione

Degree in Mathematics, Physics, Statistics or equivalent

Master's degree

Strumenti

SQL

Descrizione del lavoro

About Huddle

Huddle is a software development company that provides automated pricing and trading services to our sportsbook partners, with leading uptime and accuracy. Our platform covers core and derivative markets, player props, and micro-markets, both pre-match and in-play. We cover the biggest US sports - American football, basketball, baseball, and ice hockey - alongside global favorites like soccer and tennis.

Role Description

We’re looking for a talented Junior Quantitative Analyst to join our Rome office and work side-by-side with our team of expert quants, tackling exciting challenges in sports analytics.

As a Junior Quantitative Analyst, you will work closely with our Lead Quantitative Analyst on researching, developing, and implementing innovative algorithms that compile odds for various sports. You will use your quantitative analysis skills to provide accurate and up-to-date odds to our customers.

You will also delve into the realm of customer analytics. By exploring predictive models, you will uncover valuable insights that will guide our strategic decision-making process.

As part of our team, you will have the opportunity to work on ad-hoc analyses, generating insightful reports for both our department and the wider organization. Your findings will contribute to a data-driven culture, fostering collaboration and innovation across all teams.

We value curiosity and growth, so you’ll be encouraged to expand your technical skills and your understanding of both sports and software engineering. This role is perfect for someone who wants to strengthen their quantitative analysis skills in a collaborative, sports-focused environment.

What you'll do

• Collaborate with the Lead Quantitative Analyst to research, develop, and productionize new algorithms for odds compilation across various sports
• Conduct research on predictive models for customer analytics, extracting valuable insights to drive strategic decision-making
• Generate ad-hoc analyses and reports that provide actionable recommendations for the department and the organization as a whole
• Embrace opportunities to enhance your understanding of sports and software engineering practices, continually expanding your skill set

What we’re looking for

• A degree in a quantitative subject such as Mathematics, Physics, Statistics, or equivalent (Masters level is a strong plus)
• Strong knowledge of probability theory, stochastic processes, numerical methods, and statistics.
• Exposure to at least one OO programming language (Java, C#, C++, Scala, Python).
• Analytically minded, able to understand and overcome technically complex challenges.
• Interested in sports and competitive games
• Proficiency in written and spoken English

Bonus points if you have:

• Proficiency in Java and Python
• Exposure to SQL querying

Benefits

• Working on cutting-edge technology
• Flexible working - combine working from home and the office
• Annual educational budget of €1000
• Opportunities for occasional business travel
• 25 vacation days

Sounds interesting? Apply and let's chat!