Enable job alerts via email!

Fraud Data Analyst

twenty84

London

Hybrid

GBP 70,000 - 80,000

Full time

5 days ago
Be an early applicant

Job summary

A leading UK bank in London is seeking a Fraud Data Analyst to enhance fraud and AML detection capabilities. This permanent position offers a hybrid work model and a competitive salary range of £70K-£80K. Responsibilities include designing and optimizing fraud rulesets and collaborating with various departments. Ideal candidates will have strong experience with Feedzai, Python, and SQL, along with a solid understanding of regulatory frameworks.

Benefits

Equity participation
25 days’ holiday
Private medical insurance
Enhanced parental leave
Collaborative team environment

Qualifications

  • Strong hands-on experience configuring Feedzai or similar fraud prevention platforms.
  • Solid Python and SQL skills for data analysis and rule development.
  • Working knowledge of UK regulatory and compliance frameworks.

Responsibilities

  • Create and implement a methodology for building and testing fraud and AML rulesets.
  • Collaborate with Compliance, Engineering, and Operations to deliver enterprise-level solutions.
  • Develop and maintain MI dashboards and real-time fraud risk metrics.

Skills

Python
SQL
Stakeholder management
Fraud prevention knowledge

Tools

Feedzai
MI tools

Job description

Fraud Data Analyst

Location: London, UK

Contract: Permanent

Salary: 70K-80K

An excellent opportunity to join a fast-growing, innovative bank as a Fraud Data Analyst on a permanent basis, based in London with hybrid working available. This role is ideal for someone who wants to play a key part in shaping fraud and AML detection capabilities within a high-performing financial institution.

What’s In It for You?

  • Impactful Work: Contribute to the development of scalable, data-driven financial crime systems.
  • Hybrid Model: 3 days in the London office and 2 days from home.
  • Attractive Package: Salary 70K-80K, equity participation, 25 days’ holiday, private medical insurance and enhanced parental leave
  • Modern Culture: Enjoy a collaborative team environment with access to a fully serviced office space and regular wellbeing and social events.

Key Responsibilities

  • Create and implement a methodology for building and testing fraud and AML rulesets.
  • Collaborate with Compliance, Engineering, and Operations to deliver enterprise-level solutions.
  • Proactively identify and resolve inefficiencies in transaction monitoring and fraud detection logic.
  • Develop and maintain MI dashboards and real-time fraud risk metrics.
  • Support decision-making with advanced analytics and contribute to the evolution of detection strategies.
  • Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform.

Requirements

  • Strong hands-on experience configuring Feedzai or a similar fraud prevention platform.
  • Solid Python and SQL skills for data analysis and rule development.
  • Exposure to Fraud, AML, and transaction monitoring within financial services.
  • Demonstrated success implementing AML or fraud strategies with tangible impact.
  • Working knowledge of UK regulatory and compliance frameworks.
  • Strong communication and stakeholder management skills.
  • Experience leading or mentoring technical teams.
  • Familiarity with MI tools and reporting dashboards.

Ready to bring your expertise to one of the UK’s most innovative banks and take the next step in your career in London? Apply now and make your mark

At Twenty84, we believe in the power of diversity as a key component of innovation, growth, and success. We promote a culture where every individual—regardless of race, ethnicity, gender, age, religion, sexual orientation, ability, or background—feels valued, respected, and empowered. We are committed to helping our clients create inclusive environments that promote equal opportunities, and we actively seek to attract a diverse workforce.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs