Fraud Analytics Manager - FinTech (Hybrid London)

Fraud Analytics Manager - FinTech (Hybrid London)

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

At a Glance

  • Tasks: Analyse data to detect fraud and ensure customer security using SQL and innovative strategies.
  • Company: Join Capital on Tap, a leading FinTech company in a dynamic London office.
  • Benefits: Enjoy private healthcare, enhanced parental leave, and a hybrid work model.
  • Other info: Be part of a proactive team in a fast-paced environment with great career growth.
  • Why this job: Make a real difference in customer security while working with cutting-edge data analytics.
  • Qualifications: Experience in fintech and strong analytical skills are essential.

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

Capital on Tap is seeking a skilled data analyst focused on fraud detection in their London office. This hybrid role involves writing SQL queries, designing fraud detection rules, and monitoring outcomes to ensure customer security.

The ideal candidate should have a fintech background, experience with analytical problems, and a proactive mindset in identifying data issues.

Additionally, the role offers excellent perks like private healthcare and enhanced parental leave.

Fraud Analytics Manager - FinTech (Hybrid London) 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 in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment, complemented by attractive benefits such as private healthcare and enhanced parental leave, making us a top choice for those seeking a meaningful career in the fintech sector.

Capital on Tap

Contact Details:

Capital on Tap Recruitment Team

We think you need these skills to ace Fraud Analytics Manager - FinTech (Hybrid London)

Communication Skills
Problem-Solving Skills
SQL
Automation
Python
Attention to Detail
Analytical Skills