Python Data Analyst (Fraud and Risk)

At bet365, we're one of the world's leading online gambling companies, revolutionizing 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 billion 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 Data Analyst, you'll work closely with our Fraud and Risk team to analyze complex datasets, develop insights, and contribute to data-driven decision-making across the organization.

Never Ordinary. Are you interested in the fast-paced and growing sports gambling industry? We're seeking a Fraud and Risk Analyst to join our team at our US headquarters in downtown Denver!

The Fraud and Risk Management department plays a crucial role in protecting the company from financial threats and fraudulent activities. The key responsibilities include: Fraud Prevention and Detection, Risk Assessment and Management, Compliance and Security.

You will work closely with management tiers to implement reporting structures and data driven solutions, which advance our risk prevention measures.

This is not just a job; it's a career opportunity for aspiring data scientists to get hands on experience and apply their skills to implement solutions.

This position is full time and demands technical ability, statistical knowledge and data visualization techniques.

• Degree in Computer Science, Statistics, Mathematics, Economics or similar discipline.
• Proficient in the application and use of Python is a prerequisite of this role.
• Experience in programming languages such as SQL or R is desirable.
• Basic understanding of data science principles and methods.
• Ability to deliver solutions through quantitative research using multiple data sources.
• Self-motivated to research and deliver change within the department.
• Strong analytical and problem-solving skills
• Ability to effectively communicate with staff throughout the operation, up to and including key stakeholders; identifying and undertaking the appropriate course of escalation.

• Collect, process, and analyze large datasets using various tools and techniques.
• Developing and maintaining dashboards and other data products.  
• Instilling accurate and effective reporting channels.
• Presenting research and analysis in a clear and concise manner.
• Assist in the creation and implementation of rules-based or machine learning models.
• Collaborate with cross-functional teams to identify business problems and propose data-driven solutions

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.