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

Farm Credit Canada
Regina , SK
$89,369 - $120,911 / year
Experienced
Posted 15 days ago
Data Scientist (Credit Risk Modelling) (Two positions available)

Job Information

Author

Date

Date February 23, 2024

Deadline

Deadline March 04, 2024

Type

Type Full Time

Company

Company Farm Credit Canada

Salary $89,369 - $120,911 - Annual

Location

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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