In Episode 6 of The AiCR Exchange, Joe Furlong sits down with Patrick Zoro, Professor and MFE Program Lead at Lehigh University. Patrick spent his career on Wall Street before transitioning into academia, and he is direct about what has changed for students trying to break into capital markets today and what has not changed at all.
What is the Lehigh MFE program and what does it prepare students for?
The Master of Financial Engineering program at Lehigh University is a quantitative finance program created in 2005. It trains students to identify trading patterns, apply mathematical models across financial markets, and develop algorithmic approaches to portfolio theory and risk analysis. Originally focused on equities and hedge fund work, the program has expanded over the years to include cryptocurrency, blockchain, sports analytics, and AI-driven financial modeling. Students have gone on to roles at hedge funds, ETF firms, trading desks, and quantitative research groups. Lehigh MFE graduates regularly place into six-figure roles, competing against graduates from larger programs at Columbia and NYU by offering real-world project experience and direct industry relationships that larger programs often cannot replicate.
How is AI changing the hiring process for finance students?
AI has made it easier to apply for jobs and harder to stand out. Students are now writing Python scripts that automatically scan job postings, match them to a resume, and submit applications at scale. The problem is that when every candidate can do the same thing, hiring managers are receiving thousands of AI-generated applications for every open role. The resume that gets submitted is no longer the differentiator. What remains constant is whether the person behind it can have a real conversation, fit the culture of the firm, and demonstrate that they understand the work they would actually be doing.
What do employers actually look for beyond technical skills?
Soft skills matter as much as hard skills. Patrick is direct with his students that a high GPA alone does not get someone hired in capital markets today. Hiring managers want to know whether a candidate can network, communicate, and fit into the firm’s culture. MIAC co-owner Bob Husted asks candidates what their school mascot is during interviews, not to test knowledge but to understand how engaged and connected they were as a student. Patrick looks at the hobbies and interests section of a resume first. A technically perfect candidate who cannot connect with the people around them is unlikely to succeed regardless of their credentials.
Frequently Asked Questions About Breaking Into Capital Markets
What is financial engineering and what jobs does it lead to?
Financial engineering applies mathematical and quantitative methods to financial markets and instruments. It covers areas including derivatives pricing, portfolio optimization, algorithmic trading, risk analysis, and increasingly cryptocurrency and AI-driven modeling. Graduates of financial engineering programs work at hedge funds, investment banks, asset managers, trading firms, and quantitative research groups.
Does a finance degree guarantee a job in capital markets?
No. A finance degree is a foundation, not a guarantee. Patrick Zoro is direct that the degree loses value quickly if it is not paired with networking, hands-on project experience, and the ability to communicate and connect in a professional environment. Three-quarters of placed Lehigh MFE students got their jobs through relationships, not through open applications.
How important is networking for finance careers today?
Networking is among the most important skills for finance careers and one of the least taught. Patrick describes it as a separate skill set that involves knowing how to approach people, follow up effectively, and build connections that are meaningful to both sides. In a hiring environment where AI-generated applications are flooding inboxes, a personal introduction or established relationship remains the most reliable path to an offer.
How is AI affecting finance education and hiring?
AI has made certain parts of the job search easier and others harder. Students can automate applications, but so can every other candidate. What AI cannot do is replicate the relationships, cultural fit, and real-world judgment that employers are actually evaluating. Patrick has also redesigned parts of his coursework to require knowledge that AI cannot have, specifically referencing conversations and discussions that happened in class, which cannot be looked up.
About The AiCR Exchange
The AiCR Exchange is a live conversation series hosted by Joe Furlong. New episodes air live on LinkedIn on the second and fourth Tuesday of each month at 12pm ET. Follow AiCR on LinkedIn to catch episodes as they air and join the conversation.
About Patrick Zoro
Patrick Zoro is a Professor and the MFE Program Lead at Lehigh University’s Department of Finance. He spent his career in quantitative finance on Wall Street before transitioning into academia, and he runs a podcast of his own featuring interviews with finance professionals and students. He can be connected with on LinkedIn.