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- Tasks: Analyze complex datasets and contribute to fraud prevention and risk management.
- Company: Join a team dedicated to protecting the company from financial threats.
- Benefits: Gain hands-on experience in data science with a full-time position.
- Why this job: Make a real impact while developing your skills in a supportive environment.
- Qualifications: Degree in relevant fields and experience with Python required.
- Other info: Must provide proof of eligibility to work in the UK.
The predicted salary is between 28800 - 48000 £ per year.
As a Python Data Analyst you will work closely with the Fraud and Risk team to analyse complex datasets, develop insights and contribute to data-driven decision-making across the business. The Fraud and Risk department plays a crucial role in protecting the company from financial threats and fraudulent activities. The key responsibilities and functions include fraud prevention and detection, risk assessment and management, and compliance and security. You will work closely with management to implement reporting structures and data-driven solutions that advance our risk prevention measures. This is a great opportunity for aspiring data scientists to get hands-on experience and apply their skills to make a difference. This position is full-time and demands exceptional technical ability, statistical knowledge and data visualisation techniques. Successful applicants will need to provide proof of eligibility to work in the UK. Preferred Skills, Qualifications and Experience Degree in Computer Science, Statistics, Mathematics, Economics or similar discipline. Experience using Python. Basic understanding of data science principles and methods. Ability to deliver solutions through quantitative research using multiple data sources. Self-motivated researching and delivering change within the department. Strong analytical and problem solving skills. Effective communication with staff and key stakeholders throughout the operation; identifying and undertaking the appropriate course of escalation. Main Responsibilities Collecting, processing, and analysing 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. Assisting in the creation and implementation of rules-based or machine learning models. Collaborating with cross-functional teams to identify business problems and propose data-driven solutions. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Policy which can be found at https://www.bet365careers.com/en/privacypolicy.pdf
Python Data Analyst, Fraud and Risk employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Analyst, Fraud and Risk
✨Tip Number 1
Familiarize yourself with the specific tools and libraries commonly used in data analysis, such as Pandas, NumPy, and Matplotlib. Being able to demonstrate your proficiency in these tools during the interview can set you apart from other candidates.
✨Tip Number 2
Stay updated on the latest trends and techniques in fraud detection and risk management. Showing that you are knowledgeable about current challenges and solutions in the industry can impress the hiring team.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data analysis to solve problems or improve processes. This will help you illustrate your analytical skills and your ability to contribute to the Fraud and Risk team.
✨Tip Number 4
Network with professionals in the field of data analysis and fraud prevention. Engaging with others in the industry can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Python Data Analyst, Fraud and Risk
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Python Data Analyst position. Understand the key responsibilities, required skills, and how your background aligns with the needs of the Fraud and Risk team.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Python and any relevant projects or coursework in data analysis, statistics, or risk management. Use specific examples to demonstrate your technical abilities and problem-solving skills.
Showcase Your Analytical Skills: Provide examples of how you've used data to drive decision-making in previous roles or projects. Highlight any experience you have with data visualization techniques and how they contributed to insights or solutions.
Tailor Your Application: Customize your application materials to reflect the language and priorities outlined in the job description. Use keywords related to fraud prevention, risk assessment, and data-driven solutions to make your application stand out.
How to prepare for a job interview at bet365
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've used Python for data analysis, and be ready to explain your thought process and the outcomes of your work.
✨Understand Fraud and Risk Concepts
Familiarize yourself with key concepts in fraud prevention, risk assessment, and compliance. Being able to discuss these topics will demonstrate your interest in the role and your understanding of the department's importance.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and statistical methods. Brush up on your knowledge of data visualization techniques and be ready to explain how you would approach analyzing complex datasets.
✨Demonstrate Problem-Solving Skills
Be ready to provide examples of how you've tackled analytical challenges in the past. Discuss your problem-solving approach and how you use data to inform decision-making, as this is crucial for the role.
