About

Lal Chand Verma is an experienced Data Science Leader and cutting-edge Technology enthusiast currently serving as Vice President - Quantitative Services at Bank of America. He has a demonstrated history of leading various roles in the financial services industry and is skilled in setting up new groups/work, providing solutions, and developing POCs to business problems. Lal Chand has a strong problem-solving attitude and innovative mindset, with an MBA from IIM Lucknow and was part of an international exchange program from Toulouse Business School France. He pursued a 5-year Integrated M.Tech. in Mathematics and Computing from IIT Delhi and holds an FRM certification. Lal Chand has experience across various areas, including machine learning, business and data analytics, quantitative modelling & quantitative trading strategies, stress testing, scenario analytics and methodologies, market risk management, Value at Risk, etc. He has worked across asset classes such as Equities, Fixed Income, Rates, and FX markets. As the Regional Lead of Data Science Group at Bank of America, Lal Chand is working on machine learning models across the model development life cycle. He is working on building strategic solutions, automation of procedures, and implementation. He has added a new function of model monitoring and is working on application development and research. Lal Chand is also leading another group that is working on SIMM Risk Validation for UMR. In his past roles, Lal Chand worked as a Senior Associate - Stress Methodology at Nomura and as a Senior Quant/Trader at a hedge fund. At Nomura, he worked in the Scenario Methodology team for Rates and FX and worked on FDSF as part of PRA requirements and Fed Ccar requirements. At the hedge fund, Lal Chand traded Investment grade and High Yield papers in US and Indian Debt Market and traded pairs of equity derivatives (futures primarily) for different sectors like banking. He also coordinated with different brokers for paper quotes in the Indian Debt Market and traded on them. Lal Chand has an impressive educational background, including a PGDM in Finance from IIM Lucknow, an Integrated Masters and Bachelors in Mathematics and Computing from IIT Delhi, and an International Student Exchange Program in Finance from TBS Education. He also attended Kendriya Vidyalaya for his primary education. Lal Chand's tech stack includes Data Scientist, ML, test, and Research Scientist, and he has relevant experience of 12.95 years.