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Added 8 mins ago
Corporate Info Analyst II
Insurance Corporation of British Columbia
North Vancouver, BC
At ICBC, we strive to build diverse teams which reflect the communities we serve. To support this, we’ve created two talent communities for Indigenous Peoples and People with Disabilities.…
Added 1 hour ago
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Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
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- Volunteer
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The CSL Group Inc.
Montreal, QC
- Full-time
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Montreal, QC
- Full-time
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Continuous development of incident handling and readiness processes.
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Bank of America
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Programmer Analyst II
City of Regina
Regina, SK
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- On-site
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Senior Finance Analyst-Infrastructure & Engineering
TD
Toronto, ON
- Full-time
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Added 5 hours ago
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Senior Market Risk Analyst (5622)
TD
Toronto, ON
- Full-time
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Scotiabank

Senior Product Solutions Analyst

Toronto, ON, M5H 0B4, Canada

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Applications open in a new tab.

Job details

Apply by: Oct 21, 2026
Experience: Minimum 5 years of experience delivering data science and big data projects in large complex organizations
Posting language: English
Posted: Aug 5, 2026

Original job description

Requisition ID: 269506

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

Purpose:

The Senior Product Solutions Analyst will play a key role in transforming how business teams across Scotia Global Asset Management (SGAM) operate by introducing AI-powered technologies and delivering customized analytics solutions. This role involves contributing to the development and enhancement of internal generative AI applications, including prompt engineering and design tailored for SGAM teams. The analyst will also collaborate with a range of third-party vendors to assess, integrate, and optimize external AI tools that support operational excellence and business innovation.

This position supports the following SGAM business teams: distribution channels (third-party, proprietary and institutional), product development, marketing, finance, compliance, and operations.

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

Lead with a business-oriented perspective, collaborating with business and cross-functional teams to spark new ideas, re-engineer processes, identify opportunities, and shape AI-powered solutions
Translate business problems into technical requirements
Own AI and ML products from ideation to implementation
Partner with AI, Technology, and Data Teams to ensure successful integration and effective use of AI tools and solutions
Create and maintain a comprehensive product roadmap that supports business objectives and reflects market trends
Support change management efforts and promote AI literacy and adoption among users
Collaborate with cross functional teams such as platform and architecture to ensure AI solutions are compliant with regulatory requirements, data governance policies, and ethical standards

Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

Minimum 5 years of experience delivering data science and big data projects in large complex organizations
Background degree in Mathematics, Business, Engineering, Computer Science, Physical Sciences preferred
Strong understanding of classical machine learning, model development, MLOps, and generative AI
Advanced knowledge in Python and SQL and working with large data sets
Experience with AI tools and platforms relevant to asset management and financial services sectors
Experience with enhancing client experience through personalized AI or predictive analytics
Experience with Google Cloud Platform and pgvector is an asset
Extremely strong analytical, problem solving and data analysis skills
Experience with AI tools and platforms relevant to asset management and financial services sectors.
Experience with enhancing client experience through personalized AI or predictive analytics.

Interested?

At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That is why we work to grow and diversify talent and engage employees in a performance-oriented culture.

What's in it for you?

Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

#SGAM

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.

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More about this job

Responsibilities

The Senior Product Solutions Analyst will lead the development and integration of AI-powered technologies to optimize business processes across Scotia Global Asset Management. This role involves managing AI products from ideation to implementation while collaborating with cross-functional teams to ensure compliance and data governance.

Requirements

Candidates must have a minimum of 5 years of experience in data science and big data projects within complex organizations. A background in Mathematics, Business, Engineering, or Computer Science is preferred, along with advanced proficiency in Python, SQL, and machine learning.

Skills

Python
SQL
Generative AI
Machine Learning
Model Development
MLOps
Data Science
Big Data
Prompt Engineering
Product Roadmap
Data Governance
Regulatory Compliance
Analytical Skills
Problem Solving
Predictive Analytics
Asset Management

Benefits

Flexible benefit programs
Holistic well-being support

Visa sponsorship

Not detected in the job text

Keywords

Senior Product Solutions Analyst
Generative AI
Machine Learning
MLOps
Python
SQL
Data Science
Big Data
Prompt Engineering
Google Cloud Platform
Pgvector
Predictive Analytics
Data Governance
Regulatory Compliance
Product Roadmap
Asset Management
Financial Services
Change Management
AI Literacy
Process Re-engineering
Business Intelligence
Technical Requirements
Cross-functional Collaboration
Model Development

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