Senior Data Scientist (Credit Risk Modelling)

Job Information
Author alnationtalk
Date February 28, 2024
Deadline March 11, 2024
Type Full Time
Company Farm Credit Canada
Salary $101,804 - $137,736 - 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-1005951
Location: Regina, Saskatchewan Mississauga, Ontario Kanata, Ontario Calgary, Alberta
Closing Date: 03/11/2024
Worker Type: Permanent
Language(s) Required: English

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

$101,804 – $137,736

Risk management expertise needed
Use your advanced knowledge of model development – including expertise in credit risk adjudication and risk measurement practices for allowance for credit loss, capital management and stress-testing – to support risk management at FCC.
This role requires expert working knowledge of structured and unstructured data, statistical programming languages and mathematical concepts.

What you’ll do:

  • Lead complex insights projects to find patterns and trends in data, and model or project future scenarios
  • Determine technical direction in data solutioning, including methodology and tools used
  • Unlock insights from complex and diverse groupings of internal and external data, and tell a story with the data that enables enlightened decision-making

What we’re looking for:

  • Analytical thinker who can solve complex data problems and find ways to improve FCC through data
  • Confident communicator able to translate knowledge for others
  • Master of one or more predictive and descriptive analytics tools and techniques
  • Organized multi-tasker with demonstrated expertise using tools to manipulate and prepare huge sets of data for analysis

What you’ll need:

  • A master’s degree in one of the noted domains and at least six years of experience (or an equivalent combination of education and experience)
  • Expert level understanding of the specified domain
  • Strong mathematical or statistical background
  • Mastery in visualization and analytics tools including, but not limited to, SAS, MS Power BI, AWS environment and tools, R, Python.
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