Senior Fraud Data Analyst

7 days ago

Solihull, Solihull, United Kingdom The Curve Group Full time £40,000 - £70,000 per year

Senior Expert Fraud Data Analyst

Location:
Solihull

Salary:
£45k - £55K

Contract Type:
Permanent

Working Pattern:
Full-time/Hybrid (3 office days, 2 work-from-home, Monday – Friday)

Note
: Candidates MUST come from a Financial Services background.

Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals? Our client is looking for a
Senior Fraud Data Analyst
to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions.

This is more than just a reporting role — it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have a real commercial impact.

What You'll Do

  • Own and evolve the fraud detection and prevention strategy for your assigned product line.
  • Use tools like
    SAS, SQL, or Python
    to mine and model data, detect trends, and develop fraud rules.
  • Design and implement tactical initiatives to combat emerging fraud types.
  • Translate fraud insights into operational policies and support cross-functional teams in delivery.
  • Lead the development of fraud intelligence reporting to highlight risks and support change.
  • Act as a subject matter expert, mentoring junior analysts and advising key stakeholders.
  • Collaborate with fraud operations, product teams, and tech to influence system and process design.
  • Keep senior leaders informed through regular KPI updates, dashboards, and insights.

What We're Looking For

We're seeking an analytical thinker who's naturally curious, proactive, and solutions-focused. You'll need to demonstrate:

Essential:

  • Strong experience in fraud analytics within the financial services (Personal finance) industry
  • Proven technical skills using
    SAS, SQL, or Python
    for data mining and analysis
  • Knowledge of fraud detection systems such as
    Falcon, Hunter
    , or similar
  • Ability to interpret data trends and translate into actionable fraud strategy
  • Strong communication skills, able to influence at all levels
  • Team player with a mentoring mindset

Desirable:

  • Experience managing a fraud analytics function
  • Understanding of data warehousing systems and architecture
  • Previous experience writing or managing rule-based systems for fraud detection

Why Join Our Client?

  • Be part of a mission-critical team driving real-world impact in fraud prevention
  • Work in a supportive, forward-thinking environment where your ideas shape outcomes
  • Access to professional development, training, and career progression
  • Competitive salary, benefits, and flexibility

Ready to take the next step?

If you're passionate about fraud prevention and have the analytical toolkit to back it up, we want to hear from you.

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