Job Description

Purpose of the role

To provide data-led expert oversight and check and challenge on business and compliance matters to evidence that the organisation is operating in a compliance with Barclays legal, regulatory and ethical responsibilities. 

Accountabilities

• Identification and assessment of compliance risks through thorough reviews of business activities, changes, processes, testing and systems to.
• Identification and investigation of potential market abuse, including but not limited to, Insider Dealing, Unlawful Disclosure, Market Manipulation or Anti-Competitive Conduct.
• Conduct investigation of compliance risk events or breaches. Oversight and check and challenge of corrective actions and preventative measures to avoid future occurrences.
• Implementation of compliance policies and procedures in line with regulatory requirements and ensuring that the bank’s internal policies are aligned with international standards, including jurisdictional requirements.
• Collaboration with 1LOD, other relevant Compliance teams and legal, and relevant risk management functions to facilitate a comprehensive approach to compliance and risk management.
• Identification, investigation and oversight of potential money laundering, terrorist financing or other financial crime.

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.

Join us as an AVP – FinCrime Agile Testing Data Analyst at Barclays, where you'll play a key role in shaping and advancing the Financial Crime Agile Testing capability through data-driven assurance, innovation, and strategic insight. You will lead the design and delivery of complex analytical testing approaches, provide thought leadership on emerging Financial Crime risks, and partner with senior stakeholders across Compliance, Operations, Technology, and Risk to drive effective control oversight. Leveraging advanced analytics, AI-enabled technologies, and digital solutions, you will promote the adoption of data-led testing practices, identify opportunities for automation and innovation, and contribute to the continuous evolution of Barclays' Financial Crime control environment. The role requires strong stakeholder influence, leadership, and the ability to translate analytical insights into strategic outcomes that enhance regulatory compliance and strengthen risk management across the organisation

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Design and lead data-driven testing and analytics to assess the effectiveness of Financial Crime controls and processes.
• Develop and execute analytical test scripts using DA programming languages like SQL, Python & SAS to identify potential control gaps, anomalies, and emerging risks.
• Analyse large datasets from multiple sources including performing data cleaning, wrangling and transformation to support agile testing reviews and thematic investigations.
• Design and create interactive dashboards, visualisations, and reports that provide meaningful management insights and support decision-making.
• Partner with Compliance, Operations, Technology, and Risk stakeholders to understand business processes and testing requirements.
• Provide guidance to stakeholders on the remediation of control weaknesses and outcome risks by participating in discussions and using technical knowledge for effective remediation. Propose action plans to address root causes of issues identified in testing.
• Document testing methodologies, analytical logic, findings, and recommendations to a high standard.
• Drive digital adoption by identifying automation opportunities. Supporting the implementation of scalable data analytics, AI, and technology-enabled testing capabilities across the Financial Crime Agile Testing function.
• Advice and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.

Essential Qualifications:

• Experience in Data Analytics, Financial Crime, Compliance, Risk, Audit, or a related field.
• Strong SQL, Python and SAS skills with experience analysing large and complex datasets from Financial Crime Disciplines like KYC Onboarding, AML, Transaction Monitoring, Sanctions etc.
• Knowledge of statistical analysis, data mining, NLP, and AI-enabled analytics and experience using data visualization tools such as Tableau, or equivalent.
• Experience performing data-driven control testing, quality assurance, risk assessments, or investigative analysis
• Understanding of Financial Crime domains, including AML, Sanctions, Customer Due Diligence (CDD/KYC), Fraud, or Transaction Monitoring.
• Strong analytical and problem-solving skills with the ability to identify trends, anomalies, and control weaknesses.
• Excellent interpersonal and communication skills, with the ability to articulate complex analytical findings in a clear, concise, and meaningful manner to both technical and non-technical audiences.
• Strong stakeholder management and negotiation skills with the ability to build effective working relationships across Compliance, Financial Crime Operations, Technology, Data, Risk and Business teams.

Desirable skillsets:

• Ability to influence, negotiate and relationship-building capabilities, enabling effective and successful delivery of data analytics outcomes in a dynamic and fast-paced Financial Crime environment
• Experience leading the development of reusable analytical assets, promoting best practices, and contributing to the strategic evolution of technology-enabled assurance and oversight capabilities.
• Knowledge of advanced statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Ability to develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities.
• Working knowledge of AWS cloud services, Amazon Bedrock, and LLM architectures, with an understanding of AI/GenAI solution design, retrieval-augmented generation (RAG), model orchestration, prompt engineering, and responsible AI principles.

You may be assessed on the key critical skills relevant for success in the role, such as experience with data analytics, SQL, SAS, Python, AI, control testing along with domain knowledge of Financial Crime processes and stakeholder management, as well as job-specific skillsets.

This role will be based out of Pune.