Bank Computer Science Jobs in Toronto, ON (NOW HIRING)

Requisition ID: 261265 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose

Drive portfolio profitability and revenue integrity by identifying opportunities to optimize pricing, spread, FTP, and fee generation across the loan book, while detecting revenue leakage and supporting proactive revenue optimization strategies.

Reporting to the Senior Manager, Revenue Optimization, the Manager supports Profitability Optimization & Loan Portfolio Management within Canadian Commercial Banking through analysis of loan and relationship economics, including revenue recognition methodologies, systems, front-line practices, and NII/NIR generation.

The role is responsible for analyzing key performance indicators and supporting the execution of pricing and revenue enhancement initiatives, leveraging strong knowledge of Bank platforms and processes to identify gaps in FTP, spread, and other revenue drivers, and develop effective pricing strategies.

Accountabilities:

Portfolio Monitoring & Revenue Optimization:

• Monitor and analyze portfolio KPIs, including NII, NIR, fees, FTP, spread, and pricing realization
• Identify, quantify, and investigate revenue leakage drivers (e.g., pricing gaps, booking inconsistencies, data/system issues)
• Act as a subject matter expert on pricing platforms, policies, and methodologies
• Support the development and enhancement of pricing strategies to optimize risk-adjusted returns and client profitability

Analytics & Reporting

• Develop and maintain automated dashboards and KPI reporting to monitor portfolio performance and pricing effectiveness
• Integrate and analyze data from multiple systems (e.g., PrecisionLender, nCino, loan systems, data lake)
• Leverage tools such as Python, SQL, and Power BI to improve data processing, analysis, and reporting efficiency
• Perform trend analysis and scenario modeling to support pricing and portfolio management decisions
• Deliver insights in a clear, actionable format for senior management and executive stakeholders

Data & Process Improvement

• Identify and address data quality, data lineage, and system integration gaps impacting revenue measurement
• Support enhancements to data infrastructure and reporting architecture, including automation of manual processes
• Contribute to improving end-to-end revenue visibility and control frameworks
• Assist in implementing and validating new data elements and business rules (e.g., pricing attributes, renewal indicators) Stakeholder Collaboration

Stake Holder Collaboration:

Collaborate with Analytics, Treasury, Technology, Client Measurement, and Salesforce/nCino teams to support pricing and revenue initiatives. Provide analytical support for strategic projects, business cases, and ad-hoc requests Translate complex data into clear insights and recommendations for both technical and non-technical audiences Support user adoption, training, and continuous improvement of pricing tools and reporting solutions

Dimensions:

• The Business Bank is a large contributor to Canadian Banking, generating NIAT of $600MM+ and is comprised of numerous sub-business lines supported by over 1,000 FTE across Canada
• The Manager, Pricing Analytics receives direction from the Senior Manager, Pricing Analytics and works independently to identify, develop and implement strategies and achieve results
• A high degree of judgement is required to effectively review and analyze initiatives, as well as to create directions for various projects.

Educational Requirements:

• Bachelor's degree in Statistics, Computer Science, Business or related field or relevant experience
• MBA or Master's degree in Statistics/Computer Science/Analytics a plus

Experience:

• Minimum of 2+ years of experience in commercial banking preferred
• Experience in business banking operations would be an asset
• Familiarity with internal systems such as STO, SDR, OLL, and Intralink is an asset
• Excellent analytical skills. Must be able to source, manipulate and interpret data, perform analysis and make informed recommendations. Experience in building statistical models is a plus
• Proficiency in SQL, Python and business intelligence tools such as Power BI are preferred
• Enjoy discovering and learning new technologies Skills: - Familiarity with analytic processes and data-based decision making, - Attention to detail and drive to deliver on time are required - Excellent prioritizing, presentation, and communication skills would be a plus

Skills:

• Familiarity with analytic processes and data-based decision making
• Attention to detail and drive to deliver on time are required
• Excellent prioritizing, presentation, and communication skills would be a plus

Working Conditions

Work in a standard office-based environment.

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.