Closing Date (MM/DD/YYYY):
05/11/2025
Worker Type:
Permanent
Language(s) Required:
English
Term Duration (in months):
Salary Range (plus eligible to receive a performance based incentive, applicable to position) :
$103,331 - $139,803Quantitative analyst with a background in credit risk and capital management needed
Using your industry knowledge and experience, you’ll analyze the credit risk and capital requirements of FCC’s portfolio and provide solid business rationale to solve complex problems. You’ll perform comprehensive risk management, including assessing capital and allowance, as well as managing and interpreting complex credit risk and capital models.
With your excellent communication skills, you'll lead the team responsible for translating technical data and modelling results into clear, actionable insights that play a crucial part in ensuring financial stability and supporting strategic decision-making.
What you’ll do:
-
Prepare and distribute analytics and reports targeted to senior management
-
Analyze our operating environment
-
Make recommendations on adjusting data quality, structure and adequacy to better meet analytic requirements
-
Provide domain-specific insights to other business units
-
Collaborate with internal and external stakeholders at all levels of the organization
-
Build and maintain consulting relationships with key leaders
-
Provide technical training and mentorship to team members
What we’re looking for:
-
Relationship-builder comfortable working with senior leaders and Board
-
Proven leader who can leverage expert knowledge for strategic decision-making by leaders
-
Analytical thinker with solid communication skills
-
Problem-solver who easily collaborates across business units and divisions
-
Confident communicator able to make solutions understood and actionable by all involved
What you’ll need:
-
A bachelor’s degree in agriculture, finance, business, economics, mathematics, statistics, or computer science and at least six years of experience (or an equivalent combination of education and experience)
-
Advanced research, analysis and problem-solving skills
-
In-depth understanding of statistics, mathematics or data configuration
-
Knowledge of data manipulation and management tools; mastery of visualization tools
.png)
