Quantitative Trader – Sports/Prediction Markets

Albert Bow Limited; New York (NY); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive base salary

Performance-based bonus

Direct exposure to founders

Ownership across research

High-quality data & tech

Lean working environment

Job summary

Albert Bow Limited in New York on-site is seeking a Quant Trader/Researcher to identify, research and deploy new trading opportunities across sports and prediction markets, with exposure to the full strategy lifecycle.

You will work directly with experienced quantitative and sports trading professionals, developing and testing trading strategies, building pricing models and handling large datasets to uncover predictive signals. Ownership from an early stage is offered.

Qualifications

• Experience in quantitative trading, research or data science.
• Strong mathematical, statistical and analytical ability.
• Proficiency in Python or another relevant programming language.
• Experience working with large and complex datasets.
• Genuine interest in sports, betting or prediction markets.
• Ability to turn research into practical trading decisions.
• Clear communication skills and a collaborative approach.

Responsibilities

• Researching new sources of edge across sports and prediction markets.
• Developing, testing and deploying quantitative trading strategies.
• Working with large datasets to uncover predictive signals.
• Building pricing models and improving existing trading systems.
• Monitoring live performance and making informed trading and risk decisions.
• Conducting post-trade analysis and identifying areas for improvement.
• Collaborating closely with traders, researchers and engineers.

Skills

Quantitative trading

Research

Data science

Math/statistics

Communication

Education

Bachelor’s degree or related experience

Tools

Python

Pandas

SQL

Job description

Quantitative Trader | New York – ON site | Sports Prediction Markets | $200K + Bonus

About the Firm

We are working with a privately held trading firm that has more than a decade of experience applying quantitative research, machine learning and software engineering to sports betting.

The business is now expanding its activity across prediction markets, combining sophisticated technology and quantitative models with the judgement of experienced traders.

The company has been built by a highly experienced founding team with backgrounds spanning leading quantitative trading firms and successful technology start-ups. It remains a lean, entrepreneurial environment where individuals can have a direct impact on trading performance.

The Opportunity

The firm is looking for a Quant Trader/Researcher to identify, research and deploy new trading opportunities across sports and prediction markets.

You will work directly alongside experienced quantitative and sports trading professionals, with exposure to the full strategy lifecycle.

Responsibilities will include:

• Researching new sources of edge across sports and prediction markets.
• Developing, testing and deploying quantitative trading strategies.
• Working with large datasets to uncover predictive signals.
• Building pricing models and improving existing trading systems.
• Monitoring live performance and making informed trading and risk decisions.
• Conducting post-trade analysis and identifying areas for improvement.
• Collaborating closely with traders, researchers and engineers.

The role offers considerable ownership from an early stage, supported by established technology, data and trading infrastructure.

About You

The ideal candidate will have professional experience in quantitative trading, research or a closely related area and be ready to take greater ownership of their work.

The firm is also open to exceptional graduates who can demonstrate a genuine interest in trading through prediction-market projects, internships, sports modelling, poker or their own live strategies.

You will ideally have:

• Experience in quantitative trading, research or data science.
• Strong mathematical, statistical and analytical ability.
• Proficiency in Python or another relevant programming language.
• Experience working with large and complex datasets.
• A genuine interest in sports, betting or prediction markets.
• The ability to turn research into practical trading decisions.
• Intellectual curiosity and a strong appetite for finding edge.
• Clear communication skills and a collaborative approach.

Above all, the firm is looking for someone intelligent, hungry and motivated by the opportunity to build within a small, high-performing trading team.

The Offering

• Competitive base salary and benefits.
• Performance-based bonus with significant upside.
• Direct exposure to experienced trading-industry founders.
• Ownership across research, modelling, deployment and live trading.
• High-quality data, technology and trading infrastructure.
• A lean working environment without unnecessary hierarchy or politics.

Regards,

Archie