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Added 28 mins ago
Software Developer III, Ads Infrastructure
Google
Waterloo, ON
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
AM
Principal ASIC Design Engineer
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- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 2 hours ago
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- Full-time
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Added 3 hours ago
Sr SDET– Firmware Automation
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Toronto, ON
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…
Added 3 hours ago
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- Full-time
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Mississauga, ON · CAN - Mississauga, Canada
- Full-time
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Added 12 hours ago
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Added 13 hours ago
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Scotia Global Asset Management

Senior Product Solutions Analyst

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 6, 2026
Experience: Minimum 5 years of experience delivering data science and big data projects in large complex organizations
Posting language: English
Posted: Oct 7, 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

Skills

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.

Apply About employer

More about this job

Responsibilities

Lead the development and adoption of AI-powered products and customized analytics solutions for SGAM business teams, translating business needs into technical requirements and managing products from ideation through implementation. Partner with business, technology, data, platform, and architecture teams to integrate solutions, maintain a business-aligned product roadmap, and ensure regulatory, data governance, and ethical compliance.

Requirements

Requires at least five years of experience delivering data science and big data projects in large, complex organizations, along with strong knowledge of machine learning, model development, MLOps, and generative AI. Advanced Python and SQL skills and experience with large datasets are expected; a degree in mathematics, business, engineering, computer science, or physical sciences is preferred, while Google Cloud Platform and pgvector experience are assets.

Skills

Generative AI
Prompt Engineering
Machine Learning
Model Development
MLOps
Python
SQL
Big Data
Data Science
Data Analysis
Product Roadmapping
Requirements Translation
Process Re-engineering
Change Management
Google Cloud Platform
pgvector

Benefits

Flexible Benefit Programs

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Artificial Intelligence
Machine Learning
Prompt Engineering
Data Science
Big Data
MLOps
Model Development
Python
SQL
Google Cloud Platform
pgvector
Asset Management
Financial Services
Predictive Analytics
Personalized Analytics
Product Development
Product Roadmap
Business Analysis
Technical Requirements
Process Re-engineering
Change Management
AI Literacy
Data Governance
Regulatory Compliance
Ethical Standards
Third-Party Vendors
Analytics Solutions

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