TENURE-TRACK ASSISTANT/ASSOCIATE PROFESSOR IN FINTECH

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 August 2022. 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 forensic, 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 System, Analytics or related fields with a domain emphasis on financial technologies. This position is part of the School’s strategic plan of hiring three to five faculty members annually over the next few years. The position is available immediately and applications will be accepted until the position is filled.

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 Bachelor and Graduate degree levels. The candidate Ph.D. degree must be completed before August 2022. 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 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. Similarly, Stevens has been a pioneer in Analytics and Information Systems, offering an undergraduate major in Information Systems, master’s degrees in Information Systems and in Business Intelligence & Analytics, an MBA in Analytics, and Doctoral programs in Information Systems, Analytics and Data Science. Successful candidates are expected to participate in curricular development, student advisement and the program’s robust series of public events besides the primary role of pursuing a strong research agenda.

Stevens Institute of Technology is a private institution located in Hoboken, NJ, directly across the Hudson River from New York City. Hoboken is a vibrant, walkable community in close proximity of Manhattan and has been ranked among the 12 best college towns in the country by Princeton Review. Stevens Institute of Technology works closely with local and global industries as well as government organizations on various research projects.

The School of Business at Stevens Institute of Technology is ranked among the top business schools in the nation, owing to the incredible career outcomes and high ROI enjoyed by students; the close relationships faculty cultivate with industry; and the university’s leadership in data, analytics and technology, and their roles in tomorrow’s workplaces. The School of Business has a special focus on information systems, analytics, and finance, and encourages interdisciplinary research. 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 activately involved with the center research in the related areas such as artificial intelligence in finance, blockchain, smart-contract, green finance, etc. The school is AACSB accredited and offers two PhDs in Business Administration and Data Science, two MBAs, nine Masters degrees, and undergraduate degrees in Business as well as Quantitative Finance. For more information, visit https://www.stevens.edu/business.

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 values diversity and seeks candidates who can contribute to a welcoming climate for students, faculty and staff of all races and genders. We are an NSF ADVANCE institution committed to equitable practices and policies and strongly encourage applications from women and minority candidates as well as veterans and individuals with disabilities.

How to Apply: Candidates are invited to apply for position RQ25079 via the Stevens Institute of Technology website at: https://stevens.wd5.myworkdayjobs.com/en-US/External/job/Hoboken-NJ---Main-Campus/Tenure-Track-Assistant-Associate-Professor-in-FinTech_RQ25079

Additionally, candidates should submit by email a cover letter, a current CV, a research statement, and a teaching statement to Lindsay Hartelius (lharteli@stevens.edu) with the subject “Tenure-Track Position in FinTech”.