Description

The School of Business at Stevens Institute of Technology invites applications for a full-time tenure-track faculty position in FinTech at the Assistant or Associate Professor level with an expected start date of September 2024. Applications from those with backgrounds in fields or applications related to financial technology are invited including computational finance, machine learning, optimization, data modeling and visualization, platform design, database design, cybersecurity, roboadvising, digital identification and authentication, distributed ledgers, algorithmic trading, digital forensics, pricing and hedging, financial risk management, explanatory AI, financial innovation, and multivariate statistics. Candidates should have, or be close to completing, a Ph.D., or foreign equivalent, in Finance, Information Systems, Analytics or related fields with a domain emphasis on financial technology.

The successful candidate must provide evidence of high-quality scholarly output that demonstrates potential for independent research. At the Associate level, we seek scholars with an established research record of publications in the top-tier field journals in the discipline. At the Assistant level, we seek recent graduates who can demonstrate the ability to attain a superior research record by publishing in top-tier journals. Evidence of effective teaching is required, if available. The candidate will teach FinTech-related courses at the undergraduate and graduate levels. The candidate Ph.D. degree must be completed before September 2024. Any experience in industry and/or government is a plus.

Finance faculty at the school are active in research in the areas of computational finance, behavioral finance, corporate finance, corporate governance, contract theory, energy finance, financial econometrics, macro asset pricing, and entrepreneurial finance. Financial Engineering/Financial Analytics faculty are active in research in the areas of quantitative finance, risk management, regulation, capital formation and algorithmic trading. Information Systems and Analytics faculty are active in research in the areas of collective intelligence, the management of AI, the future of work, and the effects of networks on markets. Candidates are expected to complement and enhance the research activities of the school with their own scholarly activities. The university offers a competitive teaching load and excellent support for faculty research. 

Stevens offers a large number of courses in the areas of Finance and Information Systems at the graduate, the undergraduate and the Ph.D. level. In the area of Finance, Stevens offers programs in three subbranches: Finance, Financial Engineering, and Financial Analytics.  Our flagship undergraduate program called the bachelor's program in Quantitative Finance emphasizes business, math, finance and computer science, preparing students to understand and seize new opportunities across industry categories. The master’s degrees in Finance/Financial Engineering/Financial Technology and Analytics at Stevens teach students to apply new tools in solving problems, anticipating trends and creating value through technology, and provide a comprehensive foundation in financial and economic topics, as well as an understanding of common financial tools and technologies, and how to use them to exploit business opportunities. Successful candidates are expected to participate in curriculum development, student advisement and the program’s robust series of public events besides the primary role of pursuing a strong research agenda. The school also houses a National Science Foundation (NSF) I/UCRC – Center for Research toward Advancing Financial Technologies (CRAFT). CRAFT is the first-ever NSF awarded I/UCRC devoted specifically to FinTech research and policy initiatives. The candidate will be actively involved with the center research in the related areas such as artificial intelligence in finance, blockchain, smart-contract, green finance, etc.

About the Organization

The School of Business is AACSB accredited and is ranked 53rd in the country by U.S. News & World Report. The School offers three PhD programs, two MBAs, eleven Master’s degrees, and eight undergraduate majors. These offerings, many of which have been ranked among the best in the country, are across a wide range of business disciplines and share a common emphasis on leveraging technology, analytics, and leadership for business success. For more information, visit www.stevens.edu/business.

Stevens Institute of Technology is a private institution serving over eight thousand students. It is located directly across the Hudson River from New York City, in Hoboken, NJ. Hoboken is a vibrant, walkable community and has been ranked among the twelve best college towns in the country by Princeton Review. Applications and nominations will be accepted until the position is filled. Stevens Institute of Technology appreciates all applications but can only respond to qualified candidates.  

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.

Stevens is building a diverse faculty, staff and student body and strongly encourages applications from female and minority candidates as well as veterans and individuals with disabilities. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.

Requirements

Application Procedure

Candidates should express their interest in being considered by emailing Yadilsa Gomez (ygomez1@stevens.edu) with the subject title TT FinTech Application. Please include in your email a letter of application, CV, research statement, teaching statement, job market paper and if possible, teaching evaluations. Applications without these documents will be considered incomplete and will not be reviewed. In a later stage, 3 letters of recommendation will be required.