Overview
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.
Responsibilities
* Identify, collect, and extract data from various sources, including internal and external sources.
* Perform data cleaning, wrangling, and transformation to ensure quality and suitability for analysis.
* Design and maintain efficient data pipelines for automated data acquisition and processing.
* Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data.
* Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities.
* Collaborate with business stakeholders to identify opportunities to add value from data through Data Science.
Analyst/Leadership Expectations
* Perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement.
* Demonstrate in-depth technical knowledge and experience within the assigned area of expertise; have a thorough understanding of underlying principles.
* Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources.
* Demonstrate leadership behaviours where applicable: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others. For individual contributors, develop technical expertise and act as an advisor where appropriate.
* Take responsibility for end results of a team's operational processing and activities. Escalate breaches of policies/procedures appropriately. Embed new policies/procedures adopted due to risk mitigation.
* Advise and influence decision making within own area of expertise; manage risk and strengthen controls related to your work.
* Deliver work in line with rules, regulations, and codes of conduct; understand how your sub-function integrates with the broader organisation.
* Make evaluative judgments based on analysis of factual information and detail-oriented problem solving guided by precedents.
* Guide and persuade team members and communicate complex or sensitive information. Act as a point of contact for stakeholders outside the immediate function and build networks outside the team and organisation.
* Demonstrate Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and embody the Barclays Mindset to Empower, Challenge and Drive.
Role Specifics
* Fraud Data Scientist at Barclays: responsible for the development and enhancement of fraud detection systems. Apply advanced analytical methods and data-driven approaches to improve the ability to detect and prevent fraud across banking products and services.
* Collaborate with other experts to stay ahead of fraud risks.
* Location: Northampton office.
Qualifications and Skills
* A Degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent work experience).
* Experience in fraud detection, scam prevention, or cybersecurity, ideally in a financial services or banking environment.
* Proficiency in data analysis with hands-on experience using Python, R, SQL, and machine learning frameworks.
* Ability to assess key critical skills relevant for success in role, including risk and controls, change and transformation, business acumen, strategic thinking, and digital/technology competencies.
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