AVP – FinCrime Agile Testing Data Analyst

Job description

Date live: 06/30/2026 Business Area: Compliance Area of Expertise: Compliance Contract: Permanent Reference Code: JR-0000106121 ## **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** 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 # **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. This role will be based out of Pune **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, In