Senior Data Analyst – Fraud Analytics
Salary: Competitive plus benefits
Location: Manchester
Discipline: Financial Services & Customer Operations
Reference: 020482
Overview
We’re looking for a Senior Data Analyst – Fraud Analytics to join our Credit Risk team. This is a key role in our Financial Services business, responsible for driving fraud strategy to protect the company from fraud and financial crime.
You’ll be an experienced fraud strategy professional, highly data literate, with strong knowledge of fraud detection platforms and techniques. You’ll understand the balance between minimising fraud and maximising sales.
Reporting to the Senior Manager Fraud Strategy, you’ll work closely with New Business Risk, Customer Operations, Warehouse Operations, Risk & Compliance, and Digital Technology. You’ll also play a key role in delivering fraud and financial crime capabilities to our new Financial Services platform.
Responsibilities
- Provide support across all aspects of consumer fraud and financial crime, with knowledge of 1st and 3rd party fraud typologies and detection methods.
- Oversee the fraud control rule structure and collaborate with third-party fraud prevention providers (e.g., Lexis Nexis ThreatMetrix).
- Design and implement fraud strategies to detect and prevent 3rd party consumer credit fraud and 1st party fraud.
- Use data analysis and modelling to optimise fraud detection rules while minimising sales impact.
- Monitor fraud strategy performance, identify emerging risks, and recommend improvements.
- Track KPIs and KRIs to detect new fraud trends and ensure strategy effectiveness.
- Act as fraud lead for tactical and strategic initiatives.
- Collaborate across the business to ensure initiatives align with fraud risk appetite.
- Maintain up-to-date knowledge of regulations and compliance standards.
Skills & Experience
Essential:
- Degree in a STEM subject.
- Proven experience in data analysis and fraud strategy development for a direct-to-consumer lender.
- Strong analytical problem-solving skills.
- Proficiency in SQL, SAS, or Python for data mining and analysis.
- Experience extracting and analysing large datasets with SQL.
- Excellent presentation skills and ability to explain complex analysis simply.
- Strong organisational skills and attention to detail.
- Effective collaborator with strong relationship-building skills.
- Self-starter with ability to work in ambiguous situations.
Desirable:
- Experience in a consumer fraud role for an online retail lender.
- Familiarity with fraud decision systems (e.g., CyberSource, ThreatMetrix, Mitek).
- Experience working with fraud models and understanding model performance metrics.
- Fraud model development experience.
Benefits
- Hybrid working.
- 24 days holiday (+ 8 bank holidays) with the option to buy up to 10 more.
- Annual bonus scheme.
- Enhanced maternity and adoption leave.
- Company pension (up to 8% contribution).
- Mental health and wellbeing support.
- Colleague discount across N Brown brands.
- Onsite café with subsidised rates and local restaurant discounts.
- Life assurance and private medical insurance.
- Paid volunteer day each year.
About N Brown
We’re a forward-thinking digital retailer with over 160 years of trading, operating brands such as JD Williams, Simply Be, and Jacamo. We’re committed to diversity, equity, and inclusion, and in 2024 we were named one of The Sunday Times Best Places to Work.
Our head office is in Manchester’s Northern Quarter, surrounded by great cafés, bars, and restaurants. We work 36.17 hours per week, with flexible core hours between 10am – 4pm.
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