Ian Shea

Ian Shea is a prominent figure at Jane Street Capital, serving as the Head of Fixed Income Trading for Europe and Asia.2 With over 16 years of experience in the financial industry5, Shea has played a significant role in the growth and development of Jane Street's institutional client business, particularly in the fixed income sector.

Background and Education

Ian Shea holds a Bachelor of Engineering degree in Operations Research from Princeton University, which he completed between 2003 and 2007.3 This educational background has likely contributed to his success in the quantitative trading environment at Jane Street.

Career at Jane Street

Shea joined Jane Street Capital in December 2007 and has been with the firm ever since.4 During his tenure, he has witnessed and contributed to significant growth in the company's operations:

• He was present when Jane Street launched its institutional client business around 2014.1
• In 2018, Shea oversaw the expansion into trading bonds directly with institutional clients.1
• Under his leadership, Jane Street has further expanded its offerings to include listed options, listed futures, and currencies.1

Achievements and Responsibilities

As Head of Fixed Income Trading for Europe and Asia, Ian Shea has been instrumental in:

• Growing Jane Street's trading volume to over $2 trillion directly with clients across all asset classes in 2023, including $1.2 trillion in ETFs and $490 billion in bonds.1
• Implementing advanced algorithmic trading systems capable of pricing up to 50,000 daily inquiries in seconds across a range of bond types.1
• Expanding Jane Street's bond offering to include single-line dealing in emerging market hard currency credit.1
• Managing liquidity provision during market shocks, such as the August 5th selloff where Jane Street traded more than $9 billion across all products with European clients.1

Ian Shea's leadership has been crucial in positioning Jane Street as a key player in the fixed income market, known for its innovative approach to liquidity provision and its ability to combine quantitative modeling with human expertise.