Thematic Risk Analytics Sr Analyst - Assistant Vice President

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 overallobjectivesof the bank.

This role is a unique and exciting opportunity to contribute to building the future of thematic risk usingcutting-edgedata science and AI.

Responsibilities

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  Develop and deploy advanced AI and machine learning models toidentify, analyze, andmonitoremerging thematic risks across global markets, contributing to their design.

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  Implement and contribute to the building of sophisticated Agentic AI systems for autonomous and proactive risk detection, analysis, and alerting.

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  Contribute to the construction and management of large-scale Knowledge Graphs to map and understand complex, interconnected risk ecosystems.

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  Leverage Retrieval-Augmented Generation (RAG) techniques to extract and synthesize actionable intelligence from vast unstructured and structured datasets.

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  Contribute to the development of proof-of-concepts and rapidly prototype new AI-driven risk management tools and platforms.

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  Execute analysis of large-scale data populations aggregated from target platforms, processes, and product lines, consisting of structured and unstructured data, with guidance on design as needed.

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  Effectivelyidentify, quantify, and communicate emergingriskfrom aggregated data notidentifiedby the enterprise in isolated processes to support proactive risk mitigation.

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  Collaborate with risk managers, quantitative analysts, and business stakeholders to integrate AI solutions into strategic decision-making processes.

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Recommended Qualifications

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Core AI Concepts:

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  Generative AI (GenAI): Understanding and practical application of generative models.

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  Agentic AI: Experience in building and deploying autonomous AI agents.

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  Retrieval-Augmented Generation (RAG): ExpertiseinleveragingRAG for enhanced information synthesis.

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  Knowledge Graphs: Proven ability to construct andutilizeknowledge graphs for complex data representation.

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Technical Skills and Qualifications:

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  Programming & Frameworks:

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  Proficiencyin: Python

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  Good to Have Libraries: LangChain,LangSmith,LangGraph,Streamlit,PyTorch,FastAPI.

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  Database Technologies:

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  Good to Have: Graph Databases (Neo4j), Vector Databases (PGVector, Milvus, Pinecone)

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  Relational Databases: PostgreSQL, SQL

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  Unstructured Data Expertise: Ability to extract, clean, transform, and analyze unstructured data from diverse sources such as customer complaints, issues, etc.

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  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.

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  Insights & Reporting: Experience converting processed unstructured data into actionable insights using visualizations, dashboards, and automated reporting tools.

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  Exposure to Google Cloud Platform (GCP) or Amazon Web Services (AWS) isrequired.

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Experience and Competencies:

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  8+ years of experience in Data Science, with banking and finance experience preferred but not mandatory.

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  Experience in promoting strong governance and controls, and contributing to a culture of responsible finance, good governance, and ethics.

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  Proven ability to contribute to and execute projects that enhance processes,demonstratingproblem-solving in complex situations.

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  Maintains knowledge of evolving requirements and their impacts, contributing to business results and technical strategy.

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  Strong communicationskills to liaise with various stakeholders across the business.

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Education

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  Bachelor's/University degree,Master'sdegree preferred.

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Job Family Group:

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Risk Management\n

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Job Family:

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Regulatory Risk\n

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Time Type:

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Full time\n

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Most Relevant Skills

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

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Other Relevant Skills

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For complementary skills, please see above and/or contact the recruiter.\n

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