See you all next year for the 7th Quant Financial Engineering Conference
Lehigh University Master in Financial Engineering
教育管理组织
Bethlehem，Pennsylvania 950 位关注者
This program will prepare you for a quant career in Asset Mgt, Risk, Data Science, Advisory and Actuary
关于我们
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.
- 网站
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https://business.lehigh.edu/academics/graduate/masters-programs/ms-financial-engineering
Lehigh University Master in Financial Engineering的外部链接
- 所属行业
- 教育管理组织
- 规模
- 1,001-5,000 人
- 总部
- Bethlehem，Pennsylvania
- 类型
- 教育机构
- 创立
- 2005
地点
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主要
获取路线
621 Taylor St
US，Pennsylvania，Bethlehem，18015
Lehigh University Master in Financial Engineering员工
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Christopher Toh
Integrated Business and Engineering Student at Lehigh University
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Estifanos Shekour
M.S. in Financial Engineering | Derivative Pricing and Strategy | Life Insurance Pricing
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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
动态
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Some of corporate sponsored practicum projects presented during 6th conference by Edson B. (#datarisk), Akshat Kumar and Matthew Slaski (#blockchaincompliance), Nianguang Zhao (#index), Michael Parker (#index) and Fathmat Samira Bakayoko (#chatgpt)
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From the my mind of May 2025 graduate Kushal Gowda G V
Quantitative Research Intern at Trade Terminal | Lehigh University - Masters in Financial Engineering | Portfolio Management | CFA level 3 candidate |
?? Introducing My Options Pricing & Simulation Project!?? I'm excited to share my latest project that brings complex financial modeling to life with real-time options pricing and simulations! This project is designed to help investors and traders make informed decisions by providing dynamic insights into the behavior of options under different market conditions. ?? Project Features: - Black-Scholes Model: Accurately calculate the theoretical value of call and put options with live data, considering variables like volatility and risk-free rate. - Greeks Visualization: Visualize risk sensitivities (like Delta, Gamma, Theta, and Vega) to better understand price movement impacts and manage portfolio risk. - Monte Carlo Simulations: Simulate thousands of asset price paths to estimate potential future option prices, accounting for market volatility. - Binomial Tree Model: Step-by-step binomial trees provide insights into American option values, allowing for early exercise scenarios. ?? Tech Stack: Leveraging Python with libraries like NumPy, Pandas, Plotly, and Streamlit, and using Yahoo Finance API for real-time market data, this tool combines finance and tech to make complex concepts actionable and accessible. ?? Why It Matters: Options pricing is often seen as complex, but with the right tools, it becomes accessible. By visualizing how prices change under various conditions, this project brings clarity to options trading, making data-driven decisions achievable. #Finance #OptionsTrading #DataScience #FinancialModeling #Python #BlackScholes #MonteCarloSimulation #BinomialTree #Investing #QuantFinance https://lnkd.in/ef4D8jUK
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#17 …. our graduates do get $100k+ starting salaries
Manager, USA || Quant Finance (5+ Years) || 39K+ for Followers|| Charles Schwab || PwC || Derivatives Pricing || Statistical Modeling || Risk Management || Computational Finance
?? Navigating the Path to a Master's in Quant Finance ?? Pursuing a Master's in Quantitative Finance, Financial Engineering, or related fields is a big decision, involving careful consideration of programs that align with your profile and goals. ?????? ?? I've compiled a list of top programs in the U.S., detailing crucial factors like tuition costs, average salaries, average GPAs, and acceptance rates. Based on this data, I've categorized schools into Ambitious, Moderate, and Safe choices. ?? Key insights from my analysis: ?? Ambitious: Top-tier programs with competitive acceptance rates, like UC Berkeley, Carnegie Mellon, and Columbia. Great options if you have a strong profile! ?? Moderate: Programs like Georgia Tech, NCSU, Rutgers and NYU Tandon offer a balanced mix of opportunities and selectivity. ?? Safe: Schools such as University of Illinois, and Lehigh, which have more accessible acceptance rates and still provide excellent education in quant finance. ?? Deciding where to apply can be challenging, especially in a competitive field like quant finance. It's crucial to have a mix of ambitious, moderate, and safe schools to maximize your chances. ?? If you're looking to dive deep into the world of Quantitative Finance or have questions about building a strong profile, feel free to reach out! Let’s connect and discuss strategies to make your journey smoother. Source: QUANTNET, TFE, Website Page of Universities #QuantFinance #MastersPrograms #FinancialEngineering #QuantitativeFinance #GradSchool #CareerDevelopment #HigherEducation
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from the mind of MFE graduate Joao(John) Ji Won Lee https://lnkd.in/gYG9fMME
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Project #4 on #Blockchain #Wallet #tagging team 4+1 MFE Akshat Kumar ‘27 Matthew Slaski ‘25 Fathmat Samira Bakayoko ‘25 snd Gregory Colonescu ‘25 discussed various aspects of the project with Hank Korth director of the Lehigh Blockchain. The possible commercialization of this #math based #crypto #complaince detection #algorithm was also discussed.
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Gregory Colonescu MFE ‘25 describe to in-coming MFE student about what are some of the tasks tied to the program. Greg elaborates on 2 out of 3 of his corporate sponsored projects #llm #blockchain #mfe #currency #neuralnetworks. Greg will graduate in May 2025.