Manager, Forecasting Models - Enterprise Stress Testing

Scotiabank; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading bank in the Americas is seeking a Manager to oversee forecasting models and analytic processes. This role involves collaboration across departments to develop advanced risk prediction models, ensuring compliance and quality. Ideal candidates will have a strong background in data science and programming, with a commitment to results and inclusivity.

Benefits

Competitive rewards

Bonuses

Share programs

Pension

Health benefits

Career development opportunities

Qualifications

• 2+ years in predictive, risk, or forecasting models.
• Strong communication skills in English.
• Experience in analytics or data science with cross-functional teamwork.

Responsibilities

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

Skills

Problem Solving

Communication

Programming

Data Science

Education

Bachelor’s in Mathematics

Bachelor’s in Computer Science

Bachelor’s in Engineering

Tools

Python

R

SAS

SQL

Hadoop

Spark

Hive

Job description

Requisition ID: 225780

Join a purpose-driven, high-performing team committed to results and inclusivity.

The world is evolving rapidly, with big data, machine learning, and AI becoming integral to our daily lives. Our decades of data power numerous models deployed across various systems, requiring talented, results-oriented team players who embrace challenges and help realize our vision. Our goal is to be the leading bank in The Americas by prioritizing customer needs, which involves building, managing, and governing high-performing models to provide optimal analytic insights and advice. These models underpin critical automated risk-management decisions affecting millions of customers and billions of dollars daily.

As a Manager, reporting to a Senior Manager or Director, you will oversee a portfolio of forecasting models and analytic processes, supporting credit loss estimation models across all retail and small business product lines. You will collaborate with stakeholders across departments, including Provisioning, Model Operations, Stress Testing, and more.

You will have access to traditional SAS tools and modern machine learning technologies, including GPU computing, open-source environments, Hadoop, containerized deployment, and BI tools. Under your Director’s guidance, your team will develop advanced risk prediction and loss estimation models that must be precise, stable, explainable, compliant, secure, and useful. Your role involves understanding goals, executing efficiently, maintaining quality, asking questions, and delivering results collaboratively.

Is this role right for you? In this role, you will:

• Prioritize doing the right thing and doing things the right way
• Be curious, pragmatic, and goal-oriented
• Engage socially, ask questions, and learn from global partners
• Understand the impact of your models on financial statements
• Interpret regulatory requirements and optimize processes while ensuring compliance
• Comprehend PDs, LGDs, EADs, and attrition modeling from the ground up
• Have a passion for programming, data, and predictive modeling
• Commit to quality in all aspects
• Communicate insights effectively through verbal and written means
• Maintain professionalism and motivation

Sample projects include:

• Conducting specialized analysis and improving estimation techniques
• Performing attribution and stock-flow analysis
• Collaborating on governance and model performance monitoring
• Researching new modeling methodologies and regulatory requirements
• Monitoring, recalibrating, and maintaining models
• Promoting process improvements and ensuring data reliability

Skills required for success:

General

• Bachelor’s in Mathematics, Computer Science, Engineering, or related field
• Proven problem-solving and judgment skills
• Experience in analytics or data science with cross-functional teamwork
• Strong communication skills in English
• Ability to work remotely and on-site, managing multiple tasks

Technical

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

Nice to Have:

• Spanish language skills
• Experience with credit risk forecasting, IFRS 9, CECL frameworks
• Domain expertise in retail and small business banking
• Credentials like FRM, CFA
• Experience with machine learning frameworks and Python DevOps
• Proficiency with Microsoft Office and decision systems like FICO/TSYS/CGI

What’s in it for you?

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

Location: Toronto, Ontario, Canada

Scotiabank is committed to diversity and inclusion. If you need accommodations during the recruitment process, please inform our Recruitment team. Candidates must apply online; only shortlisted candidates will be contacted.