Senior Quantitative Analytics Specialist

Overview

Work as an NLP/GenAI model validator with the Model Risk Management Group, managing model risk across the model lifecycle and producing detailed validation reports.

What you'll do

• 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 work experience, training, military experience, education, or a combination of these.
• Bachelor'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 a 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 the 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, and Agentic performance evaluation pipelines such as Arize.
• 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.
• Intellectual curiosity with attention to detail.
• Good verbal and written communication and 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

• Shift timings: 1:40 PM to 10:30 PM.
• In-office expectation: 4 days a week.
• Posting end date: 12 Nov 2026.