Naveen Ahluwalia
About Naveen Ahluwalia
Naveen Ahluwalia serves as the Head of Quants and Structured Finance Analytics at Legal & General, where he applies advanced statistical analysis tools and machine learning techniques. He has extensive experience in quantitative analysis and product management, having previously held senior roles at Intercontinental Exchange and S&P Global Ratings.
Current Role at Legal & General
Naveen Ahluwalia serves as the Head of Quants and Structured Finance Analytics at Legal & General. He has been in this role since 2023, working in a hybrid capacity in London, England. In this position, he applies his extensive knowledge of quantitative analysis and structured finance to enhance the company's analytics capabilities.
Previous Experience at Intercontinental Exchange
Before joining Legal & General, Naveen worked as the Director of Quantitative Analysis at Intercontinental Exchange from 2020 to 2023. During his tenure in London, he focused on advanced quantitative methods to support trading and risk management strategies.
Career at S&P Global Ratings
Naveen held the position of Managing Director at S&P Global Ratings from 2005 to 2018. His role involved overseeing quantitative analysis and contributing to credit ratings through sophisticated analytical techniques. This 13-year experience in London solidified his expertise in the financial analytics sector.
Educational Background in Data Science
Naveen earned a Master of Science in Data Science and Machine Learning from Birkbeck, University of London, completing his studies from 2018 to 2019. This academic background provided him with a strong foundation in statistical analysis and machine learning techniques, which he applies in his professional roles.
Expertise in Analytical Techniques
Naveen possesses strong proficiency in advanced statistical analysis tools, particularly R, for data science applications. He employs econometric and risk modeling techniques, including regression and Monte Carlo simulation, for credit analytics. His expertise extends to machine learning techniques such as neural networks and natural language processing.