Senior Fraud Data Analyst: Card Risk & Detection

Senior Fraud Data Analyst: Card Risk & Detection

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Capital on Tap

At a Glance

  • Tasks: Lead fraud systems and analyse data to combat card fraud.
  • Company: Join Capital on Tap, a leading fintech company in London.
  • Benefits: Enjoy private healthcare, 28 days holiday, and an annual learning budget.
  • Other info: Hybrid role with opportunities for professional growth.
  • Why this job: Make a real difference in fraud detection while developing your analytical skills.
  • Qualifications: Strong SQL skills and experience in fintech or lending required.

The predicted salary is between 60000 - 80000 £ per year.

Capital on Tap is looking for a Senior Fraud Data Analyst to lead the fraud systems from onboarding to card fraud with a strong focus on analytics. Located in London, this hybrid role involves writing complex SQL queries and designing fraud detection rules.

The ideal candidate will have a solid background in fintech or lending, with hands-on SQL skills and experience managing analytical projects.

Benefits include private healthcare, 28 days of holiday, and an annual learning budget.

Senior Fraud Data Analyst: Card Risk & Detection employer: Capital on Tap

At Capital on Tap, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys a range of benefits including private healthcare, generous holiday allowances, and dedicated learning budgets to support professional growth. Join us to be part of a forward-thinking fintech environment where your contributions directly impact our mission to enhance card risk and detection.

Capital on Tap

Contact Details:

Capital on Tap Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Fraud Data Analyst: Card Risk & Detection

Tip Number 1

Network like a pro! Reach out to people in the fintech space, especially those who work at Capital on Tap. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your SQL skills! Prepare to discuss specific projects where you’ve used SQL to solve problems or improve processes. Real-life examples will make you stand out during interviews.

Tip Number 3

Get familiar with fraud detection systems. Brush up on the latest trends and technologies in fraud analytics. Being knowledgeable about the industry will show you’re genuinely interested in the role.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior Fraud Data Analyst: Card Risk & Detection

SQL
Fraud Detection
Analytics
Fintech Knowledge
Project Management
Data Analysis
Rule Design

Some tips for your application 🫡

Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you can write complex queries and use them to tackle fraud detection challenges.

Demonstrate Your Analytical Mindset:In your written application, share examples of past analytical projects you've managed. We love seeing how you've used data to drive decisions, especially in fintech or lending.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior Fraud Data Analyst role. Show us why you're the perfect fit for our team.

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 don’t miss out on any important updates from us!

How to prepare for a job interview at Capital on Tap

Know Your SQL Inside Out

Since the role heavily involves writing complex SQL queries, make sure you brush up on your SQL skills. Prepare to discuss specific queries you've written in the past and how they helped solve real-world problems. Practising common SQL scenarios can give you a leg up.

Understand Fraud Detection Mechanisms

Familiarise yourself with various fraud detection rules and systems. Be ready to explain how you would approach designing these rules based on data analysis. Showing that you can think critically about fraud prevention will impress the interviewers.

Highlight Your Fintech Experience

If you have a background in fintech or lending, make sure to highlight it during the interview. Share specific projects where you managed analytical tasks and how they contributed to the company's success. This will demonstrate your relevance to the role.

Prepare Questions About the Role

Interviews are a two-way street, so prepare insightful questions about the team's current challenges and future goals. This shows your genuine interest in the position and helps you assess if it's the right fit for you.