Sasikanth Nagalla

Sasikanth Nagalla has a diverse work experience in the fields of risk analytics, finance, and community leadership. Sasikanth is currently working as a Financial Risk Data Science - Product Strategy at Stripe, where they are responsible for managing and analyzing financial risk data. Prior to this, Sasikanth worked as the Head of Platform Risk Strategy at CLST, where they played a key role in developing risk management strategies.

In addition to their risk management roles, Sasikanth has also worked in the finance industry. Sasikanth served as a Senior Risk Data Science Manager - Lending and Credit Cards at BlockFi, where they focused on building hedging strategies and providing lending services for institutional and retail clients. Sasikanth also gained experience in risk analytics and quantitative solutions as a Risk Analytics Manager at Western Asset Management, where they monitored risk profiles and developed stress testing tools for multi-billion dollar portfolios.

Sasikanth has also contributed to the technology community as a Community Member at Round, a private community for technology leaders. Sasikanth is involved in elevating leaders and promoting the positive impact of technology.

Furthermore, Sasikanth has demonstrated their leadership abilities as a Finance Club Channel Moderator at the IIT Bay Area Alumni Association. In this role, they organized knowledge sharing sessions, invited industry professionals for speaker events, and empowered non-finance professionals to make better financial decisions.

Earlier in their career, Sasikanth gained experience in risk analytics and underwriting in the insurance industry. Sasikanth worked as a Risk Analytics - Underwriting at Swiss Re, providing underwriting support and contributing to catastrophe models. Sasikanth also served as a Risk Modeling Analyst at Aon Benfield, supporting research and model development for flood risk and catastrophe loss calculations.

Overall, Sasikanth Nagalla has a strong background in risk analytics, finance, and community leadership, with experience in various industries and organizations.

Sasikanth Nagalla has a strong educational background in mathematics, statistics, and financial engineering. Sasikanth pursued a Masters of Science degree in Mathematics and Statistics from the Indian Institute of Technology, Kanpur, graduating in 2011. In 2015, they further enhanced their skills by completing a Master's Degree in Financial Engineering from the UCLA Anderson School of Management.

To keep up with the rapidly evolving field of AI and machine learning, Sasikanth obtained a Certification in No Code AI and Machine Learning: Building Data Science Solutions from MIT Professional Education in 2022. This certification signifies their expertise in developing data science solutions without the need for coding.

In addition to their formal education, Sasikanth has obtained various certifications to further specialize in their fields of interest. Sasikanth achieved the Chartered Financial Analyst (CFA) Level 2 certification from the CFA Institute in 2019, building upon their CFA Level 1 certification obtained in 2018. This showcases their comprehensive understanding of financial analysis and investment decision-making.

Their accomplishments have been recognized by being listed as an Honored Listee in Marquis Who's Who in 2023. This recognition solidifies their achievements and contributions in their respective fields.