Thematic Risk Analytics Lead Analyst - Vice President (Chennai)

Thematic Risk Analytics Lead Analyst - Vice President (Chennai)

28 Aug
|
Citigroup
|
Chennai

28 Aug

Citigroup

Chennai

**Job Description:** **Introduction** An individual in Enterprise Risk Management plays a critical role in managing the bank's diverse risks to ensure financial stability and sustained growth. This involves the identification and management of enterprise-level and cross-cutting risks, designing and executing stress tests, managing climate risk, and protecting against reputational risk. This integral role within the bank ensures operations are within a defined risk appetite and contribute to the overall objectives of the bank. This role is a unique and exciting opportunity to build the future of thematic risk using cutting-edge data science and AI. **Responsibilities** + **Lead the design, development, and strategic deployment** ?of advanced AI and machine learning models toidentify, analyze, andmonitoremerging thematic risks across global markets. + **Drive the conception and implementation** ?of sophisticated Agentic AI systems for autonomous and proactive risk detection, analysis, and alerting. + **Architect and oversee the management** ?of large-scale Knowledge Graphs to map and understand complex, interconnected risk ecosystems. + Leverage Retrieval-Augmented Generation (RAG) techniques to extract and synthesize actionable intelligence from vast unstructured and structured datasets. + **Champion the development** ?of proof-of-concepts and rapidly prototype recent AI-driven risk management tools and platforms, guiding their evolution to production. + Independently design and execute analysis of large-scale data populations aggregated from target platforms, processes, and product lines, consisting of structured and unstructured data. + **Strategically** **identify** **, quantify, and effectively communicate** ?emerging risk from aggregated data notidentifiedby the enterprise in isolated processes to drive proactive risk mitigation. + **Lead collaboration efforts** ?with risk managers, quantitative analysts, and business stakeholders to integrate AI solutions into strategic decision-making processes. + **Lead all aspects of** ?risk and control analysis and validation in line with established standards, providing comprehensive risk mitigation recommendations and strategic guidance. + **Drive and oversee** ?remediation efforts related to audit, compliance, and regulatory findings,? **establish** ?the quarterly audit process, and? **manage** ?procedural implementation and change management to ensure sound governance and controls.



+ **Initiate and lead efforts to enhance and automate** ?controlprocesses, andoversee the monitoring of control exceptions and breaches. + **Establish and actively promote** ?strong governance, controls, and a culture of responsible finance,? **leading** **the implementation and oversight** ?of the Control Framework. **Recommended Qualifications** **Core AI Concepts:** + **Generative AI (GenAI):** ?Deep understanding and practical application of generative models. + **Agentic AI:** ?Experience in building and deploying autonomous AI agents. + **Retrieval-Augmented Generation (RAG):** ?ExpertiseinleveragingRAG for enhanced information synthesis. + **Knowledge Graphs:** ?Proven ability to construct andutilizeknowledge graphs for complex data representation. **Technical Skills and Qualifications:** + **Programming & Frameworks:** + **Proficiency** **in:** ?Python + **Good to Have Libraries:** ?LangChain,LangSmith,LangGraph,Streamlit,PyTorch,FastAPI. + **Database Technologies:** + **Valuable to Have:** ?Graph Databases (Neo4j), Vector Databases (PGVector, Milvus, Pinecone) + **Relational Databases:** ?PostgreSQL, SQL + **Unstructured Data Expertise:** ?Ability to extract, clean, transform, and analyze unstructured data from diverse sources such as customer complaints, issues, etc. + **Natural Language Processing & Machine Learning Skills:** ?Expertisein text preprocessing (tokenization, stemming, lemmatization), named entity recognition, sentiment analysis, and applying Machine Learning algorithms like classification, clustering, and topic modeling. + **Insights & Reporting:** ?Experience converting processed unstructured data into actionable insights using visualizations, dashboards, and automated reporting tools. + **Exposure to** ?Google Cloud Platform (GCP) or Amazon Web Services (AWS) isrequired. **Experience and Competencies:** + **10+ years of experience** ?in Data Science, with banking and finance experience preferred but not mandatory. + **Demonstrated leadership** ?inestablishingstrong governance and controls,



and fostering a culture of responsible finance, good governance, and ethics. + **Proven** **track record** ?of designing and leading complex projects that significantly enhance processes,showcasingexceptional creativity in problem-solving. + Maintains expert knowledge of evolving requirements and their impacts, responsible for significant business results and technical strategy. + Strong leadership skills to manage governance and foster a culture of responsible finance and ethics. + Exceptional communication and stakeholder management skills to effectively liaise with various stakeholders across the business. **Education** + Bachelor's/University degree,Master'sdegree preferred. ------------------------------------------------------ **Job Family Group:** Risk Management ------------------------------------------------------ **Job Family:** Regulatory Risk ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Analytical Thinking, Credible Challenge, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle, Stakeholder Management. ------------------------------------------------------ **Other Relevant Skills** Constructive Debate, Escalation Management, Financial Analysis, Issue Management, Management Reporting, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Thematic Risk Analytics Lead Analyst - Vice President (Chennai)
🏢 Citigroup
📍 Chennai

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