Lead Quantitative Analytics Specialist - AI, Gen AI, Agentic AI, ML

Overview

Lead quantitative analysis and modeling initiatives that generate actionable insights and support evidence-based decision-making, with a focus on GenAI, Agentic AI and ML solutions, and lead a small cohort of junior analysts.

What you'll do

• Lead and contribute to moderately complex quantitative modeling and analytical initiatives, including model development, implementation, documentation, testing, and validation.
• Apply statistical methods and quantitative analysis to monitor markets and assess credit and operational risk within a defined scope.
• Analyze data and market developments to support short- and long-term business objectives and defined strategic initiatives.
• Apply knowledge of stochastic methods, structured securities, and spread analysis to evaluate financial instruments, market behavior, and model results.
• Review and assess quantitative models from technical, model-risk, audit, and market perspectives, identifying issues and recommending enhancements.
• Define the structure and scope of assigned model reviews in accordance with established standards, policies, and control requirements.
• Exercise independent judgment to develop, document, and evaluate analytical models that support product, marketing, risk, and business decisions.
• Collaborate and consult with internal partners, model stakeholders, auditors, and regulatory-facing teams on moderately complex model and analytical matters.
• Present analytical findings, model limitations, risks, and recommendations clearly to technical and business stakeholders.
• Provide exploratory data analysis using Python/R/SAS/SQL.
• Integrate and clean up data for use.
• Perform trend analysis, forecasting and pattern recognition, data mining and insights.
• Consult with partners to define issues and information needs, and communicate opportunities found in the data.
• Ensure analyses are delivered on time, surpass partner expectations, and maintain partner transparency throughout the project.
• Present findings to multiple levels of management.
• Lead a small cohort of junior analysts and provide technical guidance.

What you'll need

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
• Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science.
• Experience in the field of data science and analytics with hands-on working knowledge of related tools and technologies.
• Deep working knowledge of machine learning and deep learning, including model selection, training dynamics, overfitting, and evaluation tradeoffs.
• Practical mastery of prompt engineering and LLM behavior control, including structured prompting, chain-of-thought, robustness, and security considerations.
• Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques.
• Experience with model evaluation, monitoring, and Responsible AI, including bias, hallucination mitigation, governance, and human-in-the-loop validation.
• Strong MLOps/LLMOps capabilities, covering model lifecycle management, experiment tracking, deployment, cost control, and latency optimization.
• Ability to develop, analyze and optimize performance of Gen AI and Agentic AI solutions.
• Proficiency in Python-based data science and software engineering, with experience integrating GenAI into scalable, production-grade systems.
• Experience with databases such as Oracle, Teradata, or SQL Server.
• Advanced Excel skills.
• Strong oral and written communication and consultative skills.
• Critical thinking and strong problem-solving skills.
• Ability to multi-task and prioritize between projects, and to work independently and as part of a team.

Nice to have

• Knowledge of the banking industry and products in at least one line of business, such as credit cards, mortgage, deposits, loans or wealth management.
• Knowledge of a functional area such as risk, marketing, operations or supply chain in banking.

Details

• Location: Bengaluru, India.
• Posting end date: 29 Nov 2026.