Senior Expert Fraud Analyst

The Curve Group Careers; Metropolitan Borough of Solihull; Hybrid; GBP 45,000 - 55,000; Full time

Job summary

A leading financial services company is seeking a Senior Expert Fraud Data Analyst in Solihull. This role involves developing fraud detection strategies, utilizing SAS, SQL, or Python, and implementing preventive measures. Ideal candidates will have a strong financial services background and experience in data-driven fraud analysis. The position offers a hybrid working pattern with flexible home-office days.

Qualifications

• Candidates must have experience in a Financial Services background.
• Proficient in data modeling and fraud detection methods.
• Ability to design and implement fraud prevention strategies.

Responsibilities

• Evolve the fraud detection and prevention strategy.
• Mine and model data to detect trends.
• Design tactical initiatives to combat emerging fraud types.
• Translate fraud insights into operational policies.

Skills

Data-driven analysis

Fraud prevention techniques

Financial Services knowledge

SAS

SQL

Python

Job description

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? We're 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 ...