Manager, IFRS 9 Modelling & Analytics (term Contract)

Scotiabank; Canada; On-site; CAD 80,000 - 120,000; Full time

Job summary

Scotiabank is seeking a Manager to oversee credit loss estimation models and analytics processes in a collaborative environment. The role requires strong analytical skills, experience in programming, and the ability to manage multiple projects in the financial sector. This position offers competitive rewards, career development opportunities, and is based in Toronto, Ontario, Canada.

Benefits

Inclusive, collaborative environment

Competitive rewards: bonuses, share ownership

Health benefits and pension

Career development opportunities

Qualifications

• 2+ years in predictive or risk modeling roles.
• Proficiency in programming languages like Python, R, SAS, SQL.
• Familiarity with big data platforms (Hadoop, Spark, Hive).

Responsibilities

• Oversee a portfolio of forecasting models and analytics processes.
• Develop advanced risk prediction and loss estimation models.
• Collaborate with stakeholders across multiple teams.

Skills

Analytical problem-solving

Programming

Communication

Predictive modeling

Education

Bachelor’s in Mathematics

Bachelor’s in Computer Science

Bachelor’s in Engineering

Tools

Python

R

SAS

SQL

Hadoop

Spark

PowerBI

Job description

Requisition ID: #

Join a purpose-driven, results-oriented, inclusive, and high-performing team.

As a Manager, you will report to a Senior Manager or Director and play a key role in overseeing a portfolio of forecasting models and analytics processes. Your responsibilities include supporting credit loss estimation models across all retail and small business product lines, from conception to governance.

You will collaborate regularly with stakeholders including Provisioning, Model Operations, Stress Testing, Product teams, Validation, Governance, Technology & Data, Finance, Compliance, and Audit.

You will have access to traditional SAS tools and modern machine learning technologies, such as GPU computing, Jupyter environments, Hadoop, containerized APIs, and BI tools.

Under your Director’s guidance, your team will develop advanced risk prediction and loss estimation models that influence the bank’s financial decisions. These models must be precise, stable, explainable, compliant, secure, and useful. Your role involves understanding goals, executing with quality, asking questions, and delivering results collaboratively.

Key qualities for success:

• Commitment to doing the right thing and doing things the right way
• Curiosity, pragmatism, and goal-oriented mindset
• Social engagement and willingness to learn from global partners
• Understanding the impact of models on financial statements
• Ability to interpret regulatory requirements and optimize processes
• Deep understanding of PDs, LGDs, EADs, and attrition modeling
• Passion for programming, data, and predictive modeling
• Focus on quality and effective communication
• Professionalism and motivation

Required skills and experience:

• Bachelor’s in Mathematics, Computer Science, Engineering, or related field
• Proven analytical problem-solving skills
• Experience as an analyst or data scientist with cross-functional teams
• Strong communication skills in English
• Ability to manage multiple activities and meet deadlines
• Fundamental statistical knowledge
• 2+ years in predictive or risk modeling roles
• Proficiency in programming languages like Python, R, SAS, and SQL
• Experience with big data platforms (Hadoop, Spark, Hive)
• Knowledge of credit risk models/scorecards
• Spanish language skills are an asset
• Experience with credit risk forecasting, loss frameworks, and retail banking products is an asset
• Certifications like FRM or CFA are assets
• Experience with machine learning frameworks and Python DevOps is an asset
• Proficiency with Microsoft Office and PowerBI is an asset
• Experience with decision systems like FICO/TSYS/CGI is an asset

Benefits:

• Inclusive, collaborative environment fostering creativity and success
• Competitive rewards: bonuses, share ownership, pension, health benefits
• Career development and progression opportunities

Location: Toronto, Ontario, Canada

Scotiabank is committed to diversity and inclusion. Accommodations available upon request during recruitment.