Senior Quantitative Analytics Specialist

Overview

Senior Quantitative Analytics Specialist on the DSAI (Data Science and Artificial Intelligence) team, focused on quantitative modeling, model risk and fraud model development and validation.

What you'll do

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements, providing insights regarding a wide array of business initiatives
• Utilize structured securities and provide expertise on theory and mathematics behind the data
• Manage market, credit, and operational risks to forecast losses and compute capital requirements
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
• Manage model risk throughout the model lifecycle from model identification to model retirement, including risk ranking, model validation, change management and performance monitoring
• Deliver high quality technical reports ensuring factual accuracy, conceptual alignment, critical assessment and compliance to all policies and procedures
• Help develop and evaluate the architecture and foundational components of internal validation tools, develop fully operational prototypes, and deploy them in partnership with Technology partners
• Provide guidance to the broader MRM community on best model risk management practices by leading or contributing to efficiency, effectiveness and automation efforts

What you'll need

• 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Nice to have

• 4+ years of experience with Master's Degree or equivalent in computer science, electrical engineering, data science, or another discipline with a strong quantitative core and extensive exposure to software engineering or scientific computing
• Hands-on experience and deep knowledge in at least one of: NLP and GenAI and/or Agentic models, with exposure to model risk management policies and procedures, preferably in financial domain
• Change management skills and proven ability to conceptualize and communicate designs and plans
• Knowledge of recent frameworks for Machine Learning, GenAI and Agentic pipelines
• Hands-on experience with LangGraph, LangChain, Google ADK, Agentic performance evaluation pipelines like Arize, a plus
• Deep understanding of data modeling and relational databases
• Advanced SQL, including analytical functions and recent additions to the SQL standard
• Skill in managing relationships with key model stakeholders
• Eagerness to contribute collaboratively on projects and discussions
• Perpetual interest in learning something new, while being comfortable with not knowing all the answers
• Intellectually curious, with attention to detail
• Good verbal and written communication skills as well as interpersonal skills
• Ability to prioritize work, meet deadlines, achieve goals, and work in a dynamic and complex environment
• Ability to develop partnerships and collaborate with other business and functional areas

Details

• Location: Hyderabad, India