About

Shoham Debnath is a highly skilled finance professional with extensive experience in model risk management, market data strategy, and market risk regulatory reporting. He is currently an Associate at Goldman Sachs, where he specializes in model risk management. Shoham has also worked as an Associate at Deutsche Bank, where he was responsible for credit SME at Market Data Strategy & Analytics. During his time at Deutsche Bank, he calibrated in-house bond benchmarks for risk calculations and consumed input data from Refinitiv for around 50,000 bonds on a quarterly basis. He generated issuer-specific and general benchmarks using Python, statsmodels, pandas, numpy, multiprocessing, and tqdm. Before joining Deutsche Bank, Shoham worked as an Analyst at HSBC, where he was responsible for regulatory risk reporting of FX, commodities, and equities for the HSBC US region. Shoham has a Bachelor's degree in Mining Engineering from the esteemed IIT Kharagpur. He is also a certified FRM. Shoham is proficient in Python and Pandas and has over 5.35 years of relevant experience. He is a highly analytical and detail-oriented professional with excellent problem-solving skills. Shoham is a self-starter who thrives in a fast-paced and dynamic work environment. He is a team player who works collaboratively to achieve common goals. Shoham is passionate about finance and is always looking for ways to enhance his skills and knowledge in the field.