Senior Data Analyst - Fraud Analytics

Overview

We’re looking for a Senior Data Analyst – Fraud Analytics to join our Credit Risk team. This is a key role in the Financial Services business with responsibility for helping to drive fraud strategy to protect the business from fraud and other financial crime. To achieve this, you will be an experienced fraud strategy professional who is highly data literate, with good knowledge of platforms and techniques to combat fraud and other financial crime, and also have a good understanding of the interplay between minimising fraud and maximising sales. You will have experience using SQL, SAS or Python for data mining and analysis. 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.

What will you do as a Senior Data Analyst – Fraud Analytics at N Brown?

• 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
• 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 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.
• 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

Skills and experience

• 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 would be able to collaborate effectively by building good relationships with your peers across the business

What’s in it for you as Senior Data Analyst – Fraud Analytics?

• Hybrid working
• 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days
• 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
• 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

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

At N Brown, 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.

Ways of Working

We offer hybrid working which varies across the business depending on the role you’re in. Our Head Office is located in the Northern Quarter in Manchester City Centre. So, if you are travelling by train, tram or bus we’re perfectly located, plus we’re surrounded by cool cafes, trendy bars and the best places to eat! Our working hours are 36.17 per week and our core working hours are between 10am - 4pm. Given we don’t have strict working hours you can find the working pattern that’s right for you.

Our promise to you

We’re an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

What happens when you apply to this role as Senior Data Analyst – Fraud Analytics at N Brown?

As soon as we receive your application, we’ll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!

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