This year several of our students will take part in a second quant competition
Lehigh University Master in Financial Engineering
Education Administration Programs
Bethlehem, Pennsylvania 919 followers
This program will prepare you for a quant career in Asset Mgt, Risk, Data Science, Advisory and Actuary
About us
The Lehigh MS in Financial Engineering program is a cutting-edge, 30 credit-hour program designed to provide a strong education in advanced finance and quantitative financial analysis tools using key concepts from financial theory, applied mathematics, and engineering. With these building blocks, graduates will become instrumental in the creation of innovative solutions for real financial problems, using state of the art analytical techniques and computing technology. This challenging program can be completed in 1 or 2 years. Students will often attend class with Ph.D. students. The curriculum is intended for career opportunities in areas such as portfolio management, securities trading, investment banking, risk management, and financial information systems.
- Website
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https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering
External link for Lehigh University Master in Financial Engineering
- Industry
- Education Administration Programs
- Company size
- 1,001-5,000 employees
- Headquarters
- Bethlehem, Pennsylvania
- Type
- Educational
- Founded
- 2005
Locations
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Primary
621 Taylor St
Bethlehem, Pennsylvania 18015, US
Employees at Lehigh University Master in Financial Engineering
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Christopher Toh
Integrated Business and Engineering Student at Lehigh University
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Sisheng Liang
MS Financial Engineering candidate at Lehigh University
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Michael Parker
Finance and Mechanical Engineering IBE Honors Student at Lehigh University | Future Financial Engineering Master's Student
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Fathmat Samira Bakayoko
Financial engineering @ Lehigh University
Updates
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Future MFE student Michael Parker a IBE Lehigh undergraduate speaking to current IBE students about his experience working on #fingpt and #index projects with current MFE ‘25 Nicholas Wagner, Fathmat Samira Bakayoko , Nianguang Zhao and TOLULOPE SHOAGA
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The program has a full schedule this Fall with the weekly quant Alum speaker series from KKR, Enfusion, Axtria - Ingenious Insights, Charles Schwab, MIAC - Mortgage Industry Advisory Corporation, Vanguard, New York Mortgage Trust, Inc., John Hancock, Lincoln Financial Group, New York Rangers, Resolution Life
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Akshat Kumar MFE ‘28 , Gregory Colonescu MFE ‘25 and Fathmat Samira Bakayoko MFE ‘25 present their quant compliance project #4 based on #crypto algorithm
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Team Lehigh will be taking part in the @CME Group trading challenge initiated by Michael Miller who will be joined by Johanan Anton Pranesh ,Edson B. , Tanyaradzwa Leigh Masunga and Nianguang Zhao
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Tanyaradzwa Leigh Masunga is joining us in the Fall (thanks Gift Muchatibaya) with a background in #actuarial sciences. As part of a team, she will be exploring #option strategies with project sponsor Alum Peter Antico
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Gregory Colonescu who is graduating in May 2025 tells us about #AI and #crypto projects in worked on with corporate sponsors, and the type of jobs he is interviewing for.
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Rish Kumar will be joining us in the Spring pf 2025
This summer, I had the incredible opportunity to work on a project titled "Contextualizing the Accuracy-Fairness Trade-off in Algorithmic Prediction Outcomes" as part of the Lehigh STEM-SI program. I had the honor of presenting this work at the Creative Inquiry@Lehigh University Mountaintop Summer Expo last Friday. Throughout this project, I delved into the intricate balance between accuracy and fairness in AI systems, exploring how different conditions like algorithmic confidence, label errors, and sample sizes impact this trade-off. The insights gained from this research are pivotal in understanding how to design more equitable AI systems. I enhanced my ability to manipulate and analyze large datasets, ensuring robustness and fairness, and gained proficiency in developing and adjusting algorithms to prioritize fairness without compromising accuracy. Additionally, I deepened my understanding of the ethical implications of AI and the importance of transparency and accountability in AI systems, and improved my ability to communicate complex ideas effectively, both in written and oral formats. These skills are not just valuable academically but are crucial for my future career in data science and AI. I am excited to apply these insights to create more fair and effective AI solutions in real-world applications. A heartfelt thank you to my project mentor, Professor Kofi Arhin, for his guidance and support throughout this journey. His expertise and encouragement were instrumental in the success of this project. #LehighUniversity #STEMSI #AI #DataScience #EthicalAI #ResearchExperience #FairnessInAI #CareerGrowth