Quantitative Sports Researcher | Experienced Hire

Trading Interview; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

SIG is seeking a candidate to join the Sports Analytics team to develop statistical forecasting models for sports betting liquidity. You will work with researchers, traders and technologists to test ideas on real data and write software implementations of models and strategies.

Role requires strong mathematical abilities, coding proficiency, and experience with sports analytics projects. Travel may be required; occasional off-hour coverage is possible.

Qualifications

• Strong quantitative and analytical skills with a math/physics/statistics/economics background.
• Excellent logical reasoning and problem-solving abilities.
• Exceptional communication skills for cross-functional collaboration.
• Experience writing code to process and analyze large data sets.
• Demonstrated sports analytics or quantitative project experience.
• Willingness to travel internationally as needed.

Responsibilities

• Immerse yourself in sports analytics and quantitative trading research.
• Empirically test ideas using real industry data.
• Write programs to implement models and trading strategies.
• Collaborate with researchers, traders, and technologists.
• Spend time trading to ground model development in real-world insight.
• Occasionally provide off-hour coverage for deployment and testing.

Skills

Quantitative skills

Analytical skills

Communication skills

Coding to process data

Sports analytics

Travel readiness

Education

Advanced degree in Math/Stats/CS/Engineering/Economics

Tools

Python

SQL

Job description

At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team, you will be part of a group that is passionate about mathematics, gaming, and technology.

In this role, you will:

• Immerse yourself in sports analytics and quantitative trading research
• Empirically test ideas using real industry data
• Write programs to implement models, and strategies
• Collaborate with fellow researchers, traders, and technologists
• Spend time trading to understand how models are used in practice and how traders think and operate, ensuring model development is grounded in real-world insight
• Occasionally provide off-hour coverage, which may include evening or weekend shifts, while developing this understanding and when deploying or testing new models / strategies

Overview

At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team, you will be part of a group that is passionate about mathematics, gaming, and technology.

In this role, you will:

• Immerse yourself in sports analytics and quantitative trading research
• Empirically test ideas using real industry data
• Write programs to implement models, and strategies
• Collaborate with fellow researchers, traders, and technologists
• Spend time trading to understand how models are used in practice and how traders think and operate, ensuring model development is grounded in real-world insight
• Occasionally provide off-hour coverage, which may include evening or weekend shifts, while developing this understanding and when deploying or testing new models / strategies

What we're looking for

• Strong quantitative and analytical skills, with a background in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics (advanced degree a strong plus but not required)
• Excellent logical reasoning and problem-solving skills
• Exceptional communication skills, with the ability to both understand others and clearly express your ideas
• Experience writing code to process and analyze large sets of data
• Demonstrated experience working on sports analytics projects or other quantitative projects
• Familiarity with sports such as NFL, NBA, MLB, NHL, NCAAF, NCAAM, soccer, tennis, or golf, as well as trading experience, is a plus but not required
• Intermittent international travel may be required

If you're a recruiting agency and want to partner with us, please reach out to [e-mail]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

• Strong quantitative and analytical skills, with a background in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics (advanced degree a strong plus but not required)
• Excellent logical reasoning and problem-solving skills
• Exceptional communication skills, with the ability to both understand others and clearly express your ideas
• Experience writing code to process and analyze large sets of data
• Demonstrated experience working on sports analytics projects or other quantitative projects
• Familiarity with sports such as NFL, NBA, MLB, NHL, NCAAF, NCAAM, soccer, tennis, or golf, as well as trading experience, is a plus but not required
• Intermittent international travel may be required

If you're a recruiting agency and want to partner with us, please reach out to [e-mail]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. As one of the largest proprietary trading firms in the…