Job Description

Our clients are a leading, recognisable digital retailer that are looking for an experienced Senior Manager - Consumer Fraud Strategy & Analytics to join the Financial Services Team on a permanent basis.

This is a key role in the Financial Services business which provides leadership and direction in developing strategies to protect the business from fraud and other financial crime.

Role Responsibilities:

You would report to the Director of Credit Risk who is responsible for lending strategy. In the role you would work closely with other teams in the wider organisation, e.g., Customer Operations, Warehouse Operations, Risk and Compliance and Digital Technology.

Provide SME capability to build the capability to manage fraud and other financial crime risk, in compliance with regulatory requirements.

Provide expertise 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.

Be accountable for delivering effective fraud and financial crime management for both the firms lending and other tender types.

Develop strategies to prevent 3rd party consumer credit fraud such as impersonation and account takeover, and 1st party fraud, e.g., from customer claims, together with approaches to recover losses and costs where possible.

Develop rulesets to prevent payments fraud and work with the Payments Manager and payments acquirer to optimise the strategy for SCA step-ups and exemptions.

Use data analysis and modelling techniques to optimise rules to detect fraud whilst minimising the impact to good sales.

Develop and maintain KPIs and KRIs to ensure that new fraud risks and potential vulnerabilities are detected and understood in a timely fashion.

Develop MI to monitor payments fraud and chargebacks and maintain processes to defend against invalid chargeback claims.

Provide cost / benefit appraisals for new approaches, balancing sales losses and data costs against fraud and operational savings.

Work closely with the Senior Lending Manager for Originations to maintain effective strategies to validate the identities of new customers.

Build effective collaborations with operational managers in Financial Services and the Warehouse, to implement and maintain strategies to deal with consumer fraud.

Ensure processes are maintained that effectively screen for activity from PEPs and sanctioned individuals, with strategies to monitor or prevent transactions as required.

Provide SME input and direction in building fraud and financial crime capabilities into the new Financial Services platform.

Key Skills & Experience:

Essential

You would have previous experience in data analysis and strategy development for fraud prevention and detection, working for a direct-to-consumer lender.

You would understand how payment systems work, including knowledge of PSD2, e.g., SCA mechanisms and exemptions.

You would understand how to calculate the costs and benefits of fraud management.

You should be highly analytical with a demonstrated ability to solve problems through logical thinking.

Experience in configuring commercially available fraud platforms and knowledge of third-party data sources for fraud detection.

You must have excellent organisational skills to prioritise and deliver required output from yourself and your team accurately and in a timely fashion.

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

You should have experience in line management, including personal development or your direct reports.

You would be confident in managing external relationships with fraud data and platform providers.

You should have excellent presentational skills, producing clear and succinct reports and presentations that can summarise complex analysis and articulate a clear strategy.

Desirable

You would have managed multiple direct reports effectively.

You would have experience in platforms such as Cybersource, Threatmetrix and Hooyu.

Experience using SQL, SAS or Python for data mining and analysis.

You would have implemented a new platform into an organisation, including managing the contract process.

Please note, should feedback not be received within 28 days due to the large volume of applications, unfortunately, your application has been unsuccessful. However, we may be in touch with similar relevant opportunities.

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