Manager, Forecasting Models - Enterprise Stress Testing

Scotiabank; Canada; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading bank in the Americas is seeking a Manager to oversee forecasting models and analytics. The role involves collaboration with various stakeholders to ensure model stability and compliance. Ideal candidates will possess strong problem-solving skills and experience in data science. The position offers a competitive rewards package and opportunities for career development in an inclusive environment.

Benefits

Competitive rewards

Bonuses

Share programs

Pension

Health benefits

Career development opportunities

Qualifications

• 2+ years developing predictive/risk models.
• Experience in analytics or data science roles.

Responsibilities

• Oversee a portfolio of forecasting models and analytic processes.
• Collaborate with stakeholders ensuring model stability and compliance.

Skills

Problem-Solving

Communication

Team Collaboration

Programming

Data Analysis

Education

Bachelor’s Degree in a relevant technical field

Tools

Python

R

SAS

SQL

Hadoop

Spark

Hive

Job description

Requisition ID: #

Join a purpose-driven, high-performing team committed to results in an inclusive culture.

The world is changing rapidly, and so are we! Big data, machine learning, and AI are integral to our daily operations. We leverage decades of data to power models deployed across various systems, seeking talented, results-oriented team players who embrace challenges and help realize our vision of being the leading bank in the Americas by putting customers first.

Role Overview

As a Manager, reporting to a Senior Manager or Director, you will oversee a portfolio of forecasting models and analytic processes. Your responsibilities include supporting credit loss estimation models across all retail and small business product lines, collaborating with stakeholders such as Provisioning, Model Operations, Stress Testing, and others, ensuring model stability, accuracy, compliance, and security.

Tools & Technologies

You will have access to traditional SAS tools and modern machine learning stacks, including GPU computing, open source environments, Hadoop, containerized API deployment, and BI tools. Your team will develop advanced risk prediction and loss estimation models used for critical decision-making impacting billions of dollars.

Ideal Candidate Traits

• Commitment to integrity and quality
• Curiosity and pragmatism
• Ability to work with ambitious goals
• Strong communication skills and team collaboration
• Understanding of regulatory requirements and modeling fundamentals
• Passion for programming, data, and predictive modeling

Sample Projects

• Developing statistical solutions and improving estimation techniques
• Portfolio analysis and model performance monitoring
• Researching new methodologies and regulatory compliance
• Leading process improvements in model development and monitoring

Required Skills

• Bachelor’s Degree in a relevant technical field
• Proven problem-solving and judgment skills
• Experience in analytics or data science roles
• Excellent communication skills in English
• Ability to work remotely and on-site

Technical Skills

• Strong understanding of statistics
• 2+ years developing predictive/risk models
• Proficiency in programming languages (Python, R, SAS), SQL, and environments (Unix/Windows)
• Experience with big data platforms (Hadoop, Spark, Hive)
• Knowledge of credit risk models and scorecards

Nice to Have

• Spanish language skills
• Experience with credit risk frameworks and products
• Certifications like FRM or CFA
• Experience with machine learning frameworks and deployment
• Proficiency in MS Office and PowerBI

Benefits

• Inclusive, collaborative environment fostering creativity
• Competitive rewards, bonuses, share programs, pension, health benefits
• Career development opportunities

Location

Canada, Ontario, Toronto

About Scotiabank

Leading bank in the Americas, committed to diversity and inclusion. We support accessibility and encourage applicants requiring accommodations during the recruitment process.