Talk on "From Data Analytics to Credit Decisions, How Software Engineering Powers Data Science in Credit Risk Modelling"

#ieeesouthsask #riskmodeling #WIE #YP
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This interactive Lunch & Learn explores how data analytics, data science, and software engineering come together to support credit risk decision-making. Drawing from real-world practices in lending and risk modelling, participants will learn how credit risk models are developed, deployed, monitored, and used to support responsible lending decisions. The session highlights the full lifecycle of model development, common challenges in model development, the roles that contribute to successful data analytics, and the technical and professional skills that help students stand out in the workforce. The attendees will gain insight into career opportunities at the intersection of software engineering, data science, and financial risk management.

 


  Date and Time

  Location

  Hosts

  Registration


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  • University of Regina
  • Faculty of Engineering and Applied Science
  • Regina, Saskatchewan
  • Canada S4S 0A2
  • Building: Education
  • Room Number: EA 106.1
  • Contact Event Hosts
  • Starts 09 October 2026 08:30 PM UTC
  • Ends 19 October 2026 06:00 AM UTC
  • No Admission Charge

  Speakers

Mehdi

Manager, Risk Modelling/ Directeur, Modélisation du risque

FCC I FAC

Biography:

Dr. Mehdi Mohammadpoor, P. Eng. is a Manager of Risk Modelling at Farm Credit Canada, where he leads teams of data scientists developing and governing large‑scale corporate and commercial credit risk models, including borrower and facility risk ratings, probability of default, and loss given default models. He brings over a decade of experience at the intersection of advanced analytics, predictive model development, and enterprise risk management, with hands‑on leadership in building, refactoring, and operationalizing models using modern data science tools and platforms. In parallel with his industry career, Dr. Mohammadpoor has served as a sessional lecturer at the University of Regina since 2015, teaching and supervising students in leadership, change management, project management, and engineering economics. He holds a Ph.D. in Petroleum Systems Engineering, is a licensed Professional Engineer (P.Eng.), and has published extensively in peer‑reviewed journals and conferences, making him well‑positioned to connect systems engineering concepts with real‑world applications in data‑driven decision‑making and risk modelling.




Agenda

  1. Land Acknowledgement

  2. Introduction of the Speaker

  3. Talk on "From Data Analytics to Credit Decisions, How Software Engineering Powers Data Science in Credit Risk Modelling"

  4. Q&A

  5. Refreshments


  Media

Event Photo Talk by Speaker from Farm Credit Canada (FCC) 2.96 MiB