June Zheng is a seasoned professional with over 20 years of experience in quantitative analytics within the financial markets, currently serving as a Principal at Fannie Mae. In this pivotal role, she leverages her extensive expertise in mortgage-backed security pricing and analytics, as well as...
June Zheng is a seasoned professional with over 20 years of experience in quantitative analytics within the financial markets, currently serving as a Principal at Fannie Mae. In this pivotal role, she leverages her extensive expertise in mortgage-backed security pricing and analytics, as well as GSE credit risk transfer deals, to drive innovative solutions that enhance the organization’s risk management framework. Her deep understanding of credit risk and market risk management allows her to navigate complex financial landscapes, ensuring that Fannie Mae remains resilient in a dynamic market environment.
One of June's key projects involves the development and implementation of advanced economic capital models that align with regulatory requirements while optimizing profitability. This initiative not only bolsters Fannie Mae's capital adequacy but also enhances its strategic decision-making capabilities. Her proficiency in fixed income and derivative markets further empowers her to structure financial products that meet the evolving needs of stakeholders, thereby contributing to the organization's overall financial health.
June's qualifications are complemented by her strong analytical skills and a robust understanding of the software development life cycle (SDLC), which she applies to streamline processes and improve valuation methodologies. Her commitment to excellence in quantitative analytics and financial analysis positions her as a thought leader in the industry, driving forward-thinking strategies that mitigate risks and capitalize on market opportunities. As she continues to push the boundaries of innovation at Fannie Mae, June Zheng exemplifies the integration of expertise and strategic vision in the realm of financial services.
