Job Description

As a Quantitative Analyst, you will utilize your analytical and technical skills to develop probabilistic models that power real-time betting markets.

The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.

You will collaborate closely with data scientists, traders, and software developers to create and refine models. This position requires a strong passion for sports, alongside analytical and technical skills, and plays a vital role in enhancing our betting strategies and delivering competitive options to our customers.

The day-to-day work is interesting, challenging, and fast-paced amidst a hardworking and delivery-focused company ethos. We hire people with a broad set of skills who are ready to tackle some of technology's greatest challenges.

This role is eligible for inclusion in the company's hybrid working from home policy.

The listed salary for this position is $85,000 - $110,000 annually.

Qualifications

• Degree in a quantitative discipline (e.g., Mathematics, Computer Science, Statistics).
• Passion for sports and the online gambling industry.
• Strong grasp of probability and statistics relevant to sports betting.
• Commercial experience in programming languages and databases (e.g., C#, Go, R, Python, SQL).
• Experience analyzing large datasets, especially in sports betting.
• Experience with machine learning techniques.
• Proficiency in Windows and Microsoft Office Suite.
• Ability to optimize models for both accuracy and computational efficiency.
• Strong verbal and written communication skills.

Additional Information

• Building and maintaining pricing algorithms used in sports betting models.

• Analyzing data to quantify and refine pricing methodologies.
• Optimizing model performance for both accuracy and computational efficiency.
• Developing and supporting technical solutions that the team are responsible for.
• Identifying and solving bugs that are causing errors or problems within models.
• Managing code versions using source control systems ensuring proper documentation and version control.
• Collaborating with trading teams to incorporate domain expertise into mathematical models.
• Working with development teams to ensure alignment with technical solutions.
• Taking part in peer reviews and quality assurance activities.