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- Tasks: Analyse data to enhance fraud prevention and build insightful dashboards.
- Company: Fast-growing FinTech organisation with a focus on innovation.
- Benefits: Competitive pay, professional development, and a dynamic work environment.
- Why this job: Make a real impact in fraud prevention while working with experienced professionals.
- Qualifications: Strong background in fraud analytics, SQL skills, and familiarity with Tableau.
- Other info: On-site work in London three days a week for collaborative teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing FinTech organization is seeking an experienced Fraud Data Analyst for a 12-month contract. In this pivotal role, you will enhance fraud-prevention strategies through data analysis, working closely with senior stakeholders.
The ideal candidate will have a strong background in fraud analytics, proficient SQL skills, and familiarity with data visualization tools like Tableau.
You will be responsible for:
- Spotting fraud patterns
- Building insightful dashboards
- Ensuring proactive fraud monitoring
This position is based in London, requiring three days per week on-site work.
Fraud Data Analyst: SQL & Python (12-Month) 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 (12-Month)
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those who work with fraud analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially any related to fraud detection. 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 data analysis can tackle them. Be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 (12-Month)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fraud analytics and showcases your SQL skills. We want to see how your background aligns with the role, so don’t be shy about including relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud prevention and how your skills can help us enhance our strategies. Keep it concise but impactful!
Showcase Your Data Visualisation Skills: Since familiarity with tools like Tableau is key, consider including examples of dashboards or visualisations you've created. This will give us a clear picture of your capabilities and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at FinTech People
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and how you've used SQL to analyse data in previous roles. Practising some common SQL problems can really help you stand out.
✨Showcase Your Fraud Analytics Experience
Be ready to share specific examples of how you've identified fraud patterns in the past. Discuss the tools and techniques you used, and how your insights led to improved fraud prevention strategies. This will demonstrate your expertise and relevance to the role.
✨Familiarise Yourself with Data Visualisation Tools
Since the job mentions data visualisation tools like Tableau, it’s a good idea to have a basic understanding of how they work. If you’ve created dashboards before, be prepared to talk about them and how they helped stakeholders make informed decisions.
✨Prepare Questions for Stakeholders
Think about what you want to know from the senior stakeholders you'll be working with. Asking insightful questions shows your interest in the role and helps you understand their expectations. It also gives you a chance to demonstrate your analytical mindset.