In this role, you will:
Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
Qualify monitor markets and forecast credit and operational risks
Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
Review and assess models inclusive of technical, audit, and market perspectives
Identify structure and scope of review
Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
Collaborate and consult with regulators and auditors
Present results of analysis and strategies

Required Qualifications:




5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: 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

Desired Qualifications:
Prior model development or model validation related exposure to Machine Learning models specifically in Fraud detection and fraud prevention space.
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 productive handling of day-to-day activities.

📌 Lead Quantitative Analytics Specialist Bengaluru
🏢 Randstad
📍 Bengaluru