Senior Fraud Systems Analyst @ Barclays

AI & Machine Learning (2)
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AI & Machine Learning (2)

Job Description

Purpose of the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

Accountabilities

Identification, collection, extraction of data from various sources, including internal and external sources.
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
Development and maintenance of efficient data pipelines for automated data acquisition and processing.
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Assistant Vice President Expectations

Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions.
Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. Identify new directions for assignments and/or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc.) to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join Barclays as a Fraud Systems Senior Analyst, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. In this role, you will be an integral part of our Cyber Fraud Fusion Centre, delivering scalable CFFC services to disrupt and prevent upstream economic crime.

To be successful in this role, you will need the following:

Proven experience in detecting and analysing 1st and 2nd party fraud, including behaviours such as misuse of genuine credentials, synthetic identities, and collusive activity.
Hands-on experience with industry-leading digital identity, device, and behavioural profiling technologies (e.g. ThreatMetrix, BioCatch, FeatureSpace, Falcon).
Ability to create and manage fraud rules, models, and controls to optimise strategies for pre-payment fraud detection, with a strong understanding of rule creation and tuning within relevant platforms.
Skilled in engaging with vendors and internal fraud technology teams to assess, implement, and manage fraud detection tools and capabilities.
Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies.
Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover.

Some other highly valued skills may include:

Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation.
Supervisory and mentorship experience, delegating responsibilities within financial services.
Experience working with an industry leading digital identity, device, and behavioural profiling technology.
Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in place for all rule and model executions.
Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/ Big data programming and statistical computing.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

The successful candidate will be based in Knutsford or Northampton.

Senior Fraud Systems Analyst

Cyber Fraud Fusion Centre

Barclays

Job Description

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