Thematic Risk Analytics Lead Analyst – Vice President

Citi

Chennai District

On-site

INR 3,000,000 - 6,000,000

Full time

17 hours ago
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Job summary

Citi seeks an experienced Enterprise Risk Management leader to build and govern AI-driven risk monitoring across global markets, ensuring financial stability and robust controls in a complex, regulated environment.

You will design and deploy cutting-edge AI/ML models, knowledge graphs, and RAG workflows, lead cross-functional teams, and drive risk identification, quantification, and mitigation across large data ecosystems, with a strong emphasis on governance and ethics.

Qualifications

  • Bachelor's or higher required with strong analytics background.
  • Experience with AI/ML in risk domains and governance.
  • Ability to lead cross-functional projects and communicate complex results.

Responsibilities

  • Lead design and deployment of AI/ML models to identify thematic risks.
  • Develop autonomous AI agents for risk detection and alerting.
  • Oversee knowledge graphs to map risk ecosystems.
  • Utilize RAG to extract insights from large datasets.
  • Prototype AI-driven risk tools and drive to production.
  • Analyze large structured and unstructured datasets for risk signals.
  • Communicate emerging risk to stakeholders and guide mitigations.
  • Collaborate with risk managers and business units to embed AI solutions.
  • Oversee risk and control analysis, remediation, and governance.

Skills

Generative AI
Agentic AI
RAG
Knowledge Graphs
Python
LangChain
SQL
NLP
Data visualization
AWS / GCP

Education

Bachelor's degree, Master’s preferred

Tools

Neo4j
PGVector / Milvus / Pinecone
PostgreSQL
SQL
PyTorch
FastAPI
Streamlit
GCP
AWS

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.

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 deploymentof advanced AI and machine learning models to identify, analyze, and monitor emerging thematic risks across global markets.
  • Drive the conception and implementationof sophisticated Agentic AI systems for autonomous and proactive risk detection, analysis, and alerting.
  • Architect and oversee the managementof 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 developmentof proof-of-concepts and rapidly prototype new 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 communicateemerging risk from aggregated data not identified by the enterprise in isolated processes to drive proactive risk mitigation.
  • Lead collaboration effortswith risk managers, quantitative analysts, and business stakeholders to integrate AI solutions into strategic decision-making processes.
  • Lead all aspects ofrisk and control analysis and validation in line with established standards, providing comprehensive risk mitigation recommendations and strategic guidance.
  • Drive and overseeremediation efforts related to audit, compliance, and regulatory findings,establishthe quarterly audit process, andmanageprocedural implementation and change management to ensure sound governance and controls.
  • Initiate and lead efforts to enhance and automatecontrol processes, and oversee the monitoring of control exceptions and breaches.
  • Establish and actively promotestrong governance, controls, and a culture of responsible finance,leading the implementation and oversightof 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):Expertise in leveraging RAG for enhanced information synthesis.
  • Knowledge Graphs:Proven ability to construct and utilize knowledge 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:
  • Good 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:Expertise in 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 toGoogle Cloud Platform (GCP) or Amazon Web Services (AWS) is required.
Experience and Competencies
  • 10+ years of experiencein Data Science, with banking and finance experience preferred but not mandatory.
  • Demonstrated leadershipin establishing strong governance and controls, and fostering a culture of responsible finance, good governance, and ethics.
  • Proven track recordof designing and leading complex projects that significantly enhance processes, showcasing exceptional 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's degree preferred.

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Job Family Group

Risk Management

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Job Family

Regulatory Risk

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Time Type

Full time

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Most Relevant Skills

Analytical Thinking, Credible Challenge, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle, Stakeholder Management.

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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.

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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

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