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
•
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 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.
Embark on a transformative journey as a Data Scientist - AVP at Barclays, where you will strengthen the bank’s fraud‑risk ecosystem by driving governance excellence, enhancing control rigor, and ensuring adherence to critical risk management standards. You’ll play a pivotal role in safeguarding our operations through strong issue management, control oversight, and fraud‑risk governance, partnering closely with stakeholders across 1LOD, 2LOD, and CCO.
Our team is responsible for coordinating and governing issues, controls, and fraud‑risk events raised under Fraud Strategy. The role ensures that issues are managed effectively, controls are reviewed thoroughly, and risk events are raised and monitored in alignment with internal policies and regulatory standards. You will partner across functions to uphold operational resilience, maintain quality documentation, and advance the overall fraud‑risk governance framework.
To be successful in this role as a Data Scientist - AVP, you should possess the following skillsets:
•
Strong understanding of operational risk, fraud‑risk frameworks, and governance processes
•
Experience in issue management, control assurance, or risk event governance
•
Strong analytical and documentation skills with attention to detail
•
Ability to work effectively with cross‑functional stakeholders (1LOD, 2LOD, CCO, Control Partners)
•
Proficiency in using governance tools / systems for issue, control, and risk event tracking
Some other highly valued skills include:
•
Experience in Fraud Strategy, Risk Management, Compliance, or Operational Risk
•
Working knowledge of RICM, controls assurance, and ORAC processes
•
Strong communication, coordination, and stakeholder management skills
You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, governance expertise, change and transformation, business acumen, strategic thinking, and digital and technology capabilities, along with job‑specific technical skills.
This role is based in our Gurgaon office.
