bet365
online gambling
QuantitativeAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Quantitative Analyst at bet365. Skills: analytical skills, technical skills, probabilistic models, mathematical models. develop probabilistic models that power real-time betting markets. designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products”
Industry & Context.
analytical skills; technical skills
What They're Looking For.
Must Have
Bachelor’s Degree in a quantitative discipline, such as Mathematics, Computer Science or Statistics, or relevant industry experience, Commercial experience in programming languages and databases, such as C#, Go, R, Python, and SQL, Experience analysing large datasets, Experience with machine learning techniques, Proficiency in Windows and Microsoft Office Suite, Familiar optimising models for both accuracy and computational efficiency, verbal and written communication skills
Nice to Have
interest in and knowledge of sports and the gambling industry, Detailed understanding of probability and statistics relevant to sports betting
What You'll Do.
develop probabilistic models that power real-time betting markets
and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products
Building and maintaining pricing algorithms used in sports betting models
Analysing data to quantify and refine pricing methodologies
Optimising model performance for both accuracy and computational efficiency
Developing and supporting technical solutions
Identifying and addressing bugs that are causing errors or problems within models
Managing code versions using source control systems
ensuring proper documentation and version control
Supporting peer reviews and quality assurance activities
How You'll Work.
Team & Collaboration
Collaborate closely with data scientists, traders, and software developers to create and refine models; Collaborating with Trading teams to incorporate domain expertise into mathematical models; Working with development teams to ensure alignment with technical solutions
Communication Scope
verbal and written communication skills
Full Job Description
At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 ,illion HTTP requests daily and process more than 2 million bets per hour at peak. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide. As a Quantitative Analyst, you will utilise 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. This role is eligible for inclusion in the company’s hybrid working from home policy. ## Qualifications * Bachelor’s Degree in a quantitative discipline, such as Mathematics, Computer Science or Statistics, or relevant industry experience. * Stron
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