Summary
Shruthi Nayak is a Staff Data Scientist based in New York with 11 years of experience building quantitative and ML-driven solutions across credit, risk, and portfolio management. She blends research-grade financial math (MS Financial Mathematics) with hands-on engineering to design multi-agent underwriting systems, survival and loss-forecast models, and trade allocation algorithms that have managed billions in NAV. Her background at BlackRock spans portfolio construction, constrained convex optimization, and large-scale loan and securities lending allocation, where she built production algorithms and anomaly-detection tools for trillions in assets. At Stripe she focuses on agent explainability, rigorous evaluations and human-in-the-loop decisioning to ensure auditable, high-fidelity credit decisions. Known for translating complex financial constraints into scalable, explainable models, she brings a rare combination of portfolio-level trading experience and modern ML systems design.
11 years of coding experience
8 years of employment as a software developer
Master's degree Financial Mathematics, Master's degree Financial Mathematics at University of Michigan
Bachelor of Engineering (B.E.) Information Science/Studies, Bachelor of Engineering (B.E.) Information Science/Studies at Visvesvaraya Technological University - PES Institute of Technology