Senior Data Scientist (Credit Risk Modelling)

  • Full Time
  • Canada


Job title: Senior Data Scientist (Credit Risk Modelling)

Company: Farm Credit Canada

Job description: Closing Date (MM/DD/YYYY): 03/11/2024

Worker Type: Permanent

Language(s) Required: English

Term Duration (in months):

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.

Expected salary: $101804 – 137736 per year

Location: Canada

Job date: Tue, 27 Feb 2024 23:39:07 GMT

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