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- Tasks: Analyse data to spot fraud patterns and enhance dashboards for key stakeholders.
- Company: Fast-growing FinTech with a focus on innovation and fraud prevention.
- Benefits: 12-month contract, flexible work schedule, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in fraud prevention strategies.
- Qualifications: Experience in fraud analytics, strong SQL skills, and knowledge of Python is a plus.
- Other info: Collaborate with senior stakeholders and stay ahead of industry trends.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing FinTech organisation is looking for an experienced Data Analytics Specialist for a 12-month contract. This is an exciting opportunity to take a leading role in strengthening fraud-prevention capabilities and helping shape risk strategy across the business.
Working closely with senior stakeholders across the organisation, you’ll use data-driven insights to support business decisions, investigate fraud patterns and ensure proactive monitoring of emerging risks.
Duties include:
- Analyse user and behavioural data to spot emerging fraud patterns
- Build and enhance dashboards that bring fraud trends and KPIs to life for key stakeholders
- Investigate fraud incidents and translate findings into clear, actionable recommendations
- Partner with Risk, Security, and Product teams to drive fraud-prevention initiatives
- Stay ahead of industry fraud trends, tools and techniques to support strategic decision-making
Experience required:
- Experience in a fraud / financial crime data analytics role in financial services / fintech
- Strong SQL skills for querying data
- Experience of Python - advantageous
- Experience using data visualisation / reporting tools e.g. Tableau
- Understanding of statistical methods and how to apply them to real-world fraud problems
Fraud Data Analyst - SQL / Python employer: FinTech People
Contact Detail:
FinTech People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Data Analyst - SQL / Python
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working in fraud analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any related to fraud analysis. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common fraud scenarios and how to tackle them with data. Be ready to discuss your thought process and how you’ve used data to drive decisions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Fraud Data Analyst - SQL / Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your fraud experience and data analysis skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills in SQL and Python can help us tackle fraud challenges. Keep it engaging and personal!
Showcase Your Data Skills: Since this role involves a lot of data extraction and analysis, make sure to mention specific tools and techniques you’ve used. If you’ve built dashboards or worked with visualisation tools like Tableau, let us know!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our fast-growing FinTech team!
How to prepare for a job interview at FinTech People
✨Know Your Fraud Fundamentals
Make sure you brush up on your knowledge of fraud patterns and trends. Be ready to discuss specific examples from your past experience where you've successfully identified or mitigated fraud risks. This will show that you understand the industry and can contribute right away.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. You might be asked to solve a problem or write a query on the spot, so practice common SQL functions and data manipulation techniques. Being able to talk through your thought process will impress the interviewers.
✨Bring Data Visualisation to Life
Since the role involves building dashboards, be ready to discuss your experience with data visualisation tools like Tableau. Bring examples of dashboards you've created in the past and explain how they helped stakeholders make informed decisions. This will highlight your ability to communicate complex data effectively.
✨Stay Current with Industry Trends
Research the latest trends in fraud prevention and financial crime analytics. Be prepared to discuss how these trends could impact the company and suggest innovative strategies for staying ahead. This shows your proactive approach and genuine interest in the field.