IFRS 9 / Credit Risk Modeler x 2

at  InfoTek Consulting

FRS 9 / CREDIT RISK MODELER - JOB-27180

Prospective Start Date: 16 Sep 2024
Prospective End Date: 14 Mar 2025
Location: Toronto, ON,
Physical Presence: Hybrid - 2 days per week in office
Job Description:
Job Overview:
Our client is seeking two experienced IFRS 9 / Credit Risk Modelers to join their team for a contract period of 6-12 months, starting in September 2024. These positions are crucial for supporting the IFRS9/CECL modeling team in developing and enhancing credit risk models using Python and PySpark. The ideal candidates will possess strong expertise in credit risk modeling and IFRS9/CECL frameworks.

Key Responsibilities:

• Model Development: Design, develop, and implement credit risk models, focusing on Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) concepts.
• IFRS 9 / CECL Modeling: Apply IFRS 9 and CECL standards to build and enhance risk models that meet regulatory requirements.
• Technical Expertise: Utilize Python and PySpark for model development, ensuring accuracy, scalability, and performance.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and risk management professionals, to deliver high-quality models.
• Hybrid Work Arrangement: Preference is for candidates who can work onsite twice a week in downtown Toronto. However, remote candidates may be considered based on qualifications and experience.

Required Skills & Qualifications:

• Experience:
• Minimum of 4 years of experience in risk modeling.
• Strong background in credit risk modeling, including PD, LGD, and EAD concepts.
• Proven experience in IFRS 9 and CECL modeling.
• Technical Skills:
• Proficiency in Python and PySpark for model development.
• Experience with large-scale data processing and analysis.
• Analytical Abilities: Strong quantitative and analytical skills with a keen attention to detail.
• Communication: Excellent communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Prior experience working in financial institutions or with regulatory bodies.
• Familiarity with other programming languages or tools used in risk modeling.

Rate / Salary
$ - $
Sector
Financial - Banking
Category
Risk Modeler Contract
Skills / Experience
4+ years of risk modeling experience -Credit risk modeling (PD, LGD, EAD modeling concepts) -IFRS9/CECL modeling -Python -PySpark
Benefits
Not Specified
Our Reference

• Model Development: Design, develop, and implement credit risk models, focusing on Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) concepts.
• IFRS 9 / CECL Modeling: Apply IFRS 9 and CECL standards to build and enhance risk models that meet regulatory requirements.
• Technical Expertise: Utilize Python and PySpark for model development, ensuring accuracy, scalability, and performance.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and risk management professionals, to deliver high-quality models.
• Hybrid Work Arrangement: Preference is for candidates who can work onsite twice a week in downtown Toronto. However, remote candidates may be considered based on qualifications and experience