Dragos Bozdog
Dr. Bozdog is an expert in the mathematics of finance, algorithms and optimization who researches threat assessment and early warning systems.
Financial Engineering Master's Program
Today's complex financial markets require experts who not only understand how the markets work, but who also have the mathematical knowledge to uncover patterns and the technological skills to exploit them.
In the current marketplace, companies look for individuals who possess the following four attributes:
- A thorough understanding of the financial markets along with complex financial structures, trading strategies and derivatives.
- Sophisticated financial mathematical modeling skills along with the prerequisite knowledge of advanced probability, statistics, stochastic processes and time series analysis.
- Knowledge of financial data modeling in the rapidly growing field of financial services analytics, which involves creating data-driven decision-making analytic tools for the financial services industry.
- Expertise in programming languages such as C++, C#, Python, Java and other computational skills related to databases, parallel computing, big data and data visualization.
The master's in Financial Engineering combines the desired attributes of mathematical modeling, statistical analysis, finance, economics, computer programming skills and systems thinking to solve the financial challenges at the enterprise and the systemic level. The program provides students a fundamental understanding of domains applied in the quantification of financial systems and knowledge that is intrinsic in the structuring of financial products and markets.
Admission requirements Curriculum Overview Board of Advisors Download curriculum
Finance faculty
Faculty in this program bring a wealth of industry knowledge and thought leadership in areas like machine learning, data visualization and optimization.
Ricardo Collado
Dr. Collado uses dynamic stochastic optimization as a tool for examining decision-making under risk.
Germán Creamer
A highly cited business researcher investigating applications of machine learning and social network algorithms to solve finance problems.
Zhenyu Cui
Dr. Cui studies financial derivatives pricing, stochastic processes and applied probability, stochastic simulation, and systemic risk.
Zachary Feinstein
Dr. Feinstein explores the topics of financial contagion and system risk in his research.
Ionut Florescu
Dr. Florescu is an expert in creating stochastic models for real finance problems. He organizes an annual conference in high frequency at Stevens.
Jonathan Kaufman
Dr. Kaufman brings more than 25 years' professional experience to Stevens, including running his own hedge fund.
Khaldoun Khashanah
Dr. Khashanah's work in financial networks, systemic risk, modeling and high-frequency finance is highly respected in both industry and academia.
Thomas Lonon
Dr. Lonon's research interests include topics in the financial engineering, statistics and empirical finance disciplines.
Papa Ndiaye
An expert in applied mathematics, Dr. Ndiaye teaches courses with special practical emphasis.
Dan Pirjol
Dr. Pirjol's focus includes derivatives research. He previously served as a VP in JPMorgan Chase's model risk group.
Majeed Simaan
Dr. Simaan is interested in financial network interconnectedness, risk, machine learning and asset allocation.
Steve Yang
Dr. Yang is a respected thought leader in behavioral finance, systemic risk and fraud detection, among many other areas.
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A Machine Learning Approach to Mean Reversion Trading
Financial Engineering Seminar Series
High-tech financial center offers a degree of prestige
Finance and technology programs at Stevens benefit from the Hanlon Financial Systems Center, a one-of-a-kind teaching and research facility that's home to two labs outfitted with the latest in analytical and visualization tools.
An eye on the future
The Hanlon Financial Systems Center teaches students to leverage technology in seeking innovative solutions to pressing problems in finance.
Tech-driven advantage
The two Hanlon labs use powerful hardware and sophisticated software that allows for thorough analysis of enormous financial data sets.
An incredible network
Studying finance at Stevens gives you access to an incredible network of decision-makers and hiring managers on Wall Street.
Driving research insights
The combination of world-class technology and an unbeatable location powers researchers' investigations into areas of pressing need in industry.
Location inspires innovation
Meeting recruiters in finance is easy: Wall Street is a 10-minute ride from Stevens, putting your future within easy reach.
World-class conferences
Stevens faculty leverage the center's cachet to attract thought leaders from around the world to engage in tech-driven opportunities in finance.
The right finance degree for your future
Stevens offers a number of finance-related graduate programs — a result of its technology orientation and its location just outside Wall Street. Here’s a primer to help you choose the right program.
Graduate certificates
Short programs designed to help working professionals quickly master new skills and keep current with industry trends.
Master's in Finance
Emphasizes leadership in finance, giving front-office professionals confidence in managing teams and technology.
Master's in Financial Analytics
Turns statisticians into front-office quants who can analyze data and create innovative solutions for clients.
Master’s in Financial Engineering
Gives engineers the programming and finance skills to complement their technical talents as they learn to price assets and manage risk.
Ph.D. in Financial Engineering
A research-intensive doctoral program preparing students to create solutions and design products for industry or academia.
Ph.D. in Business Administration
A Finance concentration is ideal for researchers interested in academic careers in finance.
Top recruiters in financial engineering
Goldman Sachs
Jefferies
Prudential
Citi