Raghavendra Padala
Vice President, Quant Engineering, Ai Ml & Data Science @Goldman Sachs
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WORK HISTORY
Vice President, Quant Engineering, Ai Ml & Data Science @Goldman Sachs
Orchestrate AI/ML strategy and execution within Goldman Sachs Transaction Banking (TxB), leading a high-performing data science team.• Delivered end-to-end lifecycle (development through deployment) of impactful AI/ML systems that drive significant business value and operational automation, including credit decision engines, Fraud detection, extraction and classification of API messages in swift payments• Pioneered the application of advanced LLM techniques, including fine-tuning and Retrieval-Augmented Generation (RAG), to automate complex financial operations and extract intelligence from large datasets.• Successfully architected and deployed critical models, such as deep learning fraud detection systems and NLP-powered API processors, resulting in enhanced efficiency and risk mitigation.• Championed data-driven transformation within TxB, driving successful adoption of AI/ML model training and inference infrastructure
EDUCATION
New York University
Master’s Degree, Financial Engineering
Indian Institute of Technology, Kharagpur
Bachelor’s Degree, Aerospace Engineering
ABOUT RAGHAVENDRA PADALA
Leader in AI/ML space with a foundation in Engineering, over 9 years of experience dedicated to the application of AI/ML models in financial services, driving innovation in fraud detection, risk and profitability optimization, and operational decision making. Successfully developed and deployed enterprise-grade models. Aligning AI/ML initiatives with strategic business goals, influencing C-suite decisions, and generating measurable business value. Strong academic background from IIT Kharagpur and NYU, with CFA, underpinning expertise in quantitative finance and advanced machine learning.
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