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Lally School of Management at Rensselaer Polytechnic Institute
Troy, NY, United States (on-site)
30+ days ago
University of Kansas
Lawrence, KS, United States (on-site)
30+ days ago
PNC Financial Services Group
Pittsburgh, PA, US
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Lally School of Management at Rensselaer Polytechnic Institute
Troy, New York, United States (on-site)
30+ days ago


The Lally School of Management at Rensselaer Polytechnic Institute seeks applications for a tenure-track faculty position starting Fall 2023, at the Assistant or Associate Professor level, from scholars who work in areas at the cutting edge of financial technology and analytics as it pertains to the digital transformation of the financial services industry.

Candidates must have a Ph.D. degree in a relevant business discipline from an accredited university along with demonstrated evidence to produce original and innovative scholarly work with publications in premier business journals. All candidates must demonstrate evidence of effective teaching.  The successful candidate will join the School either as a tenure-track Assistant Professor, or as an Associate Professor, based on teaching and research experience and success. Candidates for Associate Professor as also expected to demonstrate a national or international record of academic, scholarly and/or research recognition, as typically achieved through five (5) or more years in a tenure track position The successful candidate will have a demonstrated potential and commitment to effective teaching in our graduate and undergraduate courses in basic and advanced topics in analytics for finance and accounting, as well as provide service to the School of Management and to Rensselaer.

The areas of research interest include, but not limited to, analytics, AI and machine learning in finance and accounting, natural language processing, cryptography, blockchains in finance, robo-advising, quantitative asset management, marketplace lending, parametric insurance, audit analytics, fraud detection, privacy issues related to financial data, open architectures in banking and insurance, and compliance and regulation of financial technology. Experience in and deep knowledge about the financial services industry would be a plus. Familiarity with unique fintech datasets or experimental platforms would also be a plus.

We are expanding Lally School’s renowned quantitative finance teaching and research portfolios, as well as the technical collaboration of the NSF-funded Center for Research toward Advancing Financial Technology (CRAFT) with the Institute’s constellations on AI and ML through financial technology applications. The School provides an intellectually stimulating and collaborative environment for inter-disciplinary scholarly contributions with support for research, teaching, and service. We are seeking an outstanding candidate who is driven and willing to engage with the vibrant, diverse and inclusive cross-disciplinary research community at Rensselaer.

Prospective candidates must possess demonstrated potential to produce original and innovative scholarly work of the highest possible quality with impact in the top academic journals.


Applications: Follow the on-screen prompts to create a brief online profile and contact information for three (3) referees. Please be ready to upload the following required documents:
• Letter of interest
• CV
• Statement of teaching evidence of effective teaching
• Diversity statement
• Research statement

If you need assistance with the online application process, please contact

Job Information

  • Job ID: 67378555
  • Workplace Type: On-Site
  • Location:
    Troy, New York, United States
  • Company Name For Job: Lally School of Management at Rensselaer Polytechnic Institute
  • Position Title: Assistant or Associate Professor (Tenured or Tenure-Track) in Financial Technology and Analytics
  • Job Function: Business Analytics
  • Job Type: Full-Time
  • Job Duration: Indefinite
  • Min Education: Ph.D.
  • Min Experience: 3-5 Years

Please refer to the company's website or job descriptions to learn more about them.

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