Data Scientist (Credit Risk Modelling) (Two positions available)

Job Information
Author alnationtalk
Date February 22, 2024
Deadline March 04, 2024
Type Full Time
Company Farm Credit Canada
Salary $89,369 - $120,911 - Annual
Location Regina, SK Mississauga, ON Kanata, ON Calgary, AB
Category Miscellaneous
Client Farm Credit Canada
Contact Information
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Job Number: R-1005939
Location: Regina, Saskatchewan Mississauga, Ontario Kanata, Ontario Calgary, Alberta
Closing Date: 03/04/2024
Worker Type: Permanent
Language(s) Required: English

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

$89,369 – $120,911

Data science and statistical modelling expertise needed
Use your extensive knowledge of risk management and finance in areas such as credit risk, allowance for credit losses, economic capital and stress testing to support our portfolio management team. You’ll leverage your programming skills to support, enhance or automate work tasks.

What you’ll do:

  • Unlock insights from complex and diverse groupings of internal and external data or developed models to tell a story
  • Use advanced analytics techniques to enable enlightened decision-making
  • Choose appropriate ways to tell the story through words, visualization, and interpretation

What we’re looking for:

  • Analytical thinker who can design and develop strategies that give users the information they need to make informed decisions
  • Creative thinker with research, analytical, and problem solving skills
  • Confident communicator who can translate knowledge for others
  • Relationship-builder comfortable making recommendations for improvement

What you’ll need:

  • A bachelor’s degree in agriculture, finance, business, economics, mathematics, statistics or computer science and at least four years of experience (or an equivalent combination of education and experience)
  • In-depth understanding of statistics and mathematics combined with business domain knowledge
  • Highly proficient in visualization and analytics tools including but not limited to SAS, MS Power BI, AWS environment and tools, R, Python
  • A passion for analysis, insights and storytelling
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