Fraud Data Analyst

We’re looking for an Senior Fraud Data Analyst to join our Financial Services team, You would report to the Senior Manager Fraud Strategy who is responsible for fraud and financial crime strategy. In the role you would work closely with other teams in the wider organisation, e.g. New Business Risk, Customer Operations, Warehouse Operations, Risk and Compliance and Digital Technology. A key pillar of our Group Strategy is the creation of a new Financial Services platform, which presents significant growth opportunities. You would provide SME analytical support to deliver the capability to manage fraud and other financial crime risk. What will you do as an Senior Fraud Data Analyst at N Brown?

Responsibilities

• Provide support in all aspects of consumer fraud and financial crime, including knowledge of 1st and 3rd party fraud typologies and fraud detection data, techniques and platforms.
• Responsible for oversight of the fraud control rule structure, working closely with various third‑party fraud prevention solution providers (e.g. Lexis Nexis Threatmetrix), and leading in elements of the continuous improvement in fraud strategy.
• Responsible for the ownership, design and implementation of fraud strategies, to detect and prevent 3rd‑party consumer credit fraud such as impersonation and account takeover, and 1st‑party fraud, e.g. from customer claims, together with UAT within our fraud decision systems.
• Use data analysis and modelling techniques to undertake complex analysis to continually optimise rules to detect fraud whilst minimising the impact to good sales, and present findings and recommendations to the Leadership Team.
• Be responsible for the evolution of fraud strategy monitoring, with written evaluation of performance, highlighting emerging risks or trends and initiating further actions and analysis.
• Monitor KPIs and KRIs to ensure new fraud risks and emerging trends are detected and reviewed in a timely fashion, and strategy changes are working as expected.
• Be a key fraud business lead for tactical and strategic initiatives, providing SME input to delivery leads.
• Build effective collaborations with other business areas and product owners across the company to ensure business change initiatives are delivered in line with fraud risk appetite and with appropriate fraud controls.
• Develop key stakeholder relationships both internally and externally to N Brown.
• Maintain knowledge of regulatory changes, ensuring fraud strategies adhere to all governance, financial crime and compliance standards.
• Provide SME support in the delivery of fraud and financial crime capabilities and strategies into the new Financial Services platform.

Qualifications

• You have a degree in a STEM subject.
• You would have previous experience in data analysis and strategy development for fraud prevention and detection, working for a direct-to-consumer lender.
• You should be highly analytical with a demonstrated ability to solve problems through logical thinking.
• You have experience using SQL, SAS or Python for data mining and analysis.
• You would be comfortable extracting and analysing large datasets using SQL.
• You have excellent presentation skills and are able to explain complex analysis in a simple and concise way, using the Microsoft Office suite.
• You must have excellent organisational skills to prioritise and deliver required output accurately and in a timely fashion.
• You would be able to collaborate effectively by building good relationships with your peers across the business e.g. in operational departments and digital technology.
• You will have demonstrated a high level of attention to detail and routinely incorporate checks into your work to ensure accuracy.
• You are a ‘self‑starter’ who takes initiative and can work with ambiguity.

Desirable

• You may have worked in a consumer fraud analytical role for an online retail lender.
• You may have experience working with fraud decision systems (e.g. CyberSource, ThreatMetrix, Mitek).
• You may have experience working with fraud models and understand how to measure model performance and drift.You may have experience in fraud model development.

N Brown – who we are and why work for us?

N Brown is a leading UK digital retail platform for clothing, footwear, home and technology, headquartered in Manchester and employing over 1,200 people nationwide. Through our strategic retail brands JD Williams, Jacamo and Simply Be and our unique payments offering, we exist to champion inclusivity and serve the underserved. Our customers are our passion, and we take great pride in delivering products that ensure they can look and feel amazing, without compromising on choice, value and accessibility. We’re committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by ‘championing inclusion, we’ll become the most loved and trusted fashion retailer’. Diversity, Equity, Inclusion and Belonging are, therefore, at the heart of our culture. In May 2024 we were delighted to be named one of The Sunday Times Best Places to Work 2024. We work hard to create a happy and inclusive culture for everyone and we’re so proud to have made this list – as voted for by our very own colleagues!

Ways of Working

• Hybrid working (2‑3 days in the office at a minimum)
• 24 days holiday (+ 8 bank holidays)
• Annual bonus scheme
• Enhanced maternity and adoption leave
• Company pension with up to 8% N Brown contribution
• Mental Health support both internally and externally, including access to our wellbeing champions and counselling services
• A range of financial wellbeing support
• Stream – a financial wellbeing tool that helps you track your pay, access earnings early and manage your money with confidence
• Colleague discount across all N Brown brands
• Onsite café with subsidised rates and local restaurant discounts!
• Life Assurance and Private Medical Insurance
• Paid volunteer time – all our colleagues can take a full day paid to volunteer for a charity of their choice.
• Our working hours are 36.17 per week and our core working hours are between 10 am – 4 pm. Given we don’t have strict working hours you can find the working pattern that’s right for you.

#J-18808-Ljbffr…