Lead Quantitative Analytics Specialist

Overview

Lead Quantitative Analytics Specialist to work as an AI/ML model validator with the Model Risk Management Group, primarily focusing on fraud risk models.

What you'll do

• Perform and lead highly complex activities related to identification and quantification of model risk.
• Test and challenge model development, implementation, and documentation.
• Use highly complex statistical, machine learning or AI related theories to quantify, analyze and manage fraud risks related to business processes handled by related models, and provide a high quality technical report.
• Assess, review, and validate models predicting fraudulent activities and lead various risk management related activities, providing insights regarding a wide array of business initiatives.
• Utilize data science and business domain expertise and perform high quality risk management assessments based on theory and mathematics behind the data.
• Manage traditional and emerging risk vectors in the financial fraud space through validation, monitoring, and identification of risks related to model development.
• Contribute, lead and participate in discussions related to analytical strategies, fraud prevention modeling, and steps along the model development lifecycle.
• Identify structure to influence risk assessments, inclusive of technical, audit and market perspectives, and contribute to discussions on emerging technologies in this space.
• Collaborate and consult with regulators, auditors and technically oriented individuals.
• Review and assess models inclusive of technical, audit, and market perspectives; identify structure and scope of review.
• Enable decision making for fraud prevention or mitigation efforts with broad impact, and act as key participant in developing and documenting analytical models.
• Present results of analysis and strategies to multiple stakeholders.

What you'll need

• 5+ 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

• Prior model development or model validation related exposure to Machine Learning models specifically in fraud detection and fraud prevention.
• Prior exposure to regulatory framework related to model risk management.
• Ability to utilize and enhance or tweak generative AI tools or Large language models for efficient handling of day-to-day activities.

Details

• Location: Hyderabad, India.
• Posting end date: 28 Oct 2026.