Fraud Data Scientist

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.

As a Fraud Data Scientist at Barclays, you will be responsible for the development and enhancement of fraud detection systems. Applying advanced analytical methods and data-driven approaches, you’ll improve our ability to detect and prevent fraud across a variety of banking products and services. You’ll work closely with other experts in the field, helping us stay one step ahead in addressing fraud risks.

To be successful as a Fraud Data Scientist, you should have:

• A degree in Mathematics, Statistics, Computer Science, Data Science, or a related quantitative discipline (or equivalent relevant experience).
• Proven experience in fraud analytics, scam prevention, financial crime, or cybersecurity, preferably within financial services, banking, or a regulated environment.
• Strong analytical and coding capabilities, with hands‑on experience in Python, R, SQL, machine learning techniques, and data science frameworks to develop and enhance fraud detection models.

• Experience leading, mentoring, or managing teams of data scientists, analysts, or other technical professionals.
• Strong stakeholder management skills, with the ability to communicate complex analytical concepts to both technical and non‑technical audiences.
• Knowledge of risk management, governance, regulatory requirements, and control frameworks within a financial services environment.

The team and therefore this role are primarily located at our Northampton office, however we may consider Radbroke and Glasgow.

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.

• 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.

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well‑developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will 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…