Shubhayan Ghosh

About Shubhayan Ghosh

Global Engineering and AI leader at Goldman Sachs with around 9 years of experience solving complex problems across domains including agentic AI systems, regulatory capital and risk analytics, derivatives pricing infrastructure, machine learning platforms, and large-scale financial engineering systems. Currently leading Agentic AI engineering initiatives, building production-grade LLM-driven multi-agent systems to automate complex financial workflows with strong governance, explainability, and operational controls in regulated environments. Throughout my career, I have focused on tackling high-impact technical problems at the intersection of quantitative modelling, data analytics, and distributed systems, building platforms spanning Regulatory Capital and RWA calculations, derivatives pricing infrastructure, scenario and sensitivity analytics, and ML-driven anomaly detection systems. Background in Mathematics and Computing from IIT Kharagpur

Experience

1. Vice President

   Goldman Sachs

   Jan 2022 — Present · Bengaluru, IN

   Global Engineering Lead for Agentic AI for Funds Oversight, driving the firm’s largest AI-driven operational transformation within Controllers Engineering- Leading a strategic enterprise collaboration with Anthropic to design and deploy production-grade LLM-based multi-agent systems, automating complex operational workflows with strong governance, explainability, and control frameworks- Architecting end-to-end agentic AI workflows covering reasoning, validation, exception handling, and auditability in regulated financial environments- Driven development of derivatives pricing infrastructure and analytics platforms supporting risk and capital analysis- Lead firm-wide initiatives including Enterprise Risk Management Framework (ERMF) data quality and governance uplift- Continued ownership and evolution of Regulatory Capital and RWA platforms, ensuring scalable, auditable systems supporting Basel regulatory reporting.

Education

• Indian Institute of Technology, Kharagpur

  Integrated M.Sc, Mathematics and Computing

  2012 — 2017

Skills

• Bash
• Data Analytics
• Hadoop
• R
• Php
• Scala
• Python
• Elasticsearch
• C++
• Visual Studio
• Statistical Modeling
• Time Series Analysis
• Css
• Statistical Data Analysis
• Java
• Visual Basic
• Sql
• Linux
• C
• Optimization
• Statistical Programming
• Solidworks
• Apache Spark
• Anomaly Detection
• Html5
• Sybase Iq
• Machine Learning
• Opencl