Posted 4 days ago
Manager, Quantitative Strategies & Analytics
@ Scotiabank
Toronto, Ontario
Overview
Scotiabank is hiring a Manager, Quantitative Strategies & Analytics in Toronto to build data-driven insights, analytical tools and automated processes that support investment decisions and advisors. The role combines quantitative analysis, software development and stakeholder work across investment teams.
Responsibilities:
- Design and maintain models, dashboards and analytical tools
- Automate manual workflows and integrate AI into processes
- Translate business needs into analytical and modeling requirements
- Define project scope, deliverables and success criteria
- Support investment teams with timely data-driven insights
Requirements summary:
- University degree or significant coursework in an analytical field
- Strong Python and SQL programming skills
- Experience building web-based analytical applications
- Hands-on experience with Power BI, Looker or Streamlit
- Understanding of trade lifecycle and reconciliation processes
- Good understanding of investment products
Tools & skills
Source and dates
Employer career site / ATS feed · successfactors
- Employer posting date
- 2026-11-02
- First seen by our source
- 2026-11-03
- Source record updated
- 2026-11-03
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Manager |
| Department | Data & analytics |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (preferred) |
| Fields of study | Data Science, Financial Engineering, Mathematics, Statistics, Computer Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Scotiabank
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Welcome to Scotiabank. We serve thousands of customers, families, and communities across the globe, helping them achieve success through advice, products, and services. Follow for news, insights, thought leadership and more. Our disclaimer:
- LinkedIn followers
- 1,518,101
- People associated on LinkedIn
- 91,736
- Reported office locations
- 40 King St W, Toronto, Ontario M5H, CA
- Bosque de Ciruelos 120, Miguel Hidalgo, CDMX 11700, MX
- Calle Dionisio Derteano 102, San Isidro, Lima 15047, PE
- Business categories
- Finance
- Banking
- Asset Management
- Financial Services
- Other recorded names
- Scotiabank
- Specialties
- Banking
- Wealth Management
- Investment Banking
- and Technology
- Profile identifies a recruitment agency
- No
- Reported total investment
- 1,066,913,622
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Welcome to Scotiabank. We serve thousands of customers, families, and communities across the globe, helping them achieve success through advice, products, and services. Follow for news, insights, thought leadership and more. Our disclaimer:
| Field | Value |
|---|---|
| Industry | Banking |
| Company size | 10,001+ employees |
| Headquarters | Toronto, Ontario |
| Organization type | Public Company |
| Specialties | BankingWealth ManagementInvestment Bankingand Technology |
| Open jobs on Jobsy | 883 |
| View page |
Requisition ID: 277364
Employee Referral Program – Potential Reward: $2,000.00
We are committed to investing in our employees and helping you continue your career at Scotiabank.
Purpose
The Manager provides analytical expertise to deliver data-driven insights, modernize and automate processes, and build purpose-built quantitative tools that enhance the investment process and advisor-facing impact. Operating at the intersection of data analytics, finance, and technology, the role requires strong communication skills and the ability to collaborate effectively with partners and senior stakeholders. Success relies on balancing technical depth with business understanding. Reporting to the Senior Manager, this position analyzes data to generate insights, builds analytical tools, and applies quantitative methods to improve investment decision‑making, drive innovation, and support process automation.
Accountabilities
- Design, enhance, and maintain models, dashboards, and data‑driven analytical tools, supporting both strategic and day‑to‑day investment needs.
- Re-engineer manual workflows into repeatable, automated processes to reduce operational risk, improve controls, and increase scalability.
- Integrate AI capabilities into existing workflows to enhance productivity, accelerate decision-making, and modernize legacy processes.
- Engage with stakeholders to elicit, clarify, and translate business needs into well-defined analytical, data, or modeling requirements.
- Define project scope, objectives, deliverables, timelines, and success criteria for analytical tools, dashboards, and quantitative model initiatives.
- Promote and demonstrate alignment with enterprise values, diversity and inclusion principles, and a culture of collaboration.
- Ensure alignment with risk management practices, contributing to a risk-aware environment and adherence to policies.
- Foster a client‑centric culture, supporting investment teams by delivering timely, data‑driven insights and tools that enhance decision-making.
- Uphold Scotiabank’s Values, Code of Conduct, and Global Sales Principles, ensuring effective controls around operational, compliance, conduct, AML/ATF/sanctions, and reputational risk.
- Contribute to a high‑performance environment by supporting a people strategy that attracts, retains, and develops talent; fostering an inclusive culture; and demonstrating a coaching-oriented mindset.
Education / Experience
- University degree or significant coursework in an analytical field such as Data Science/Engineering, Financial Engineering, Mathematics, Statistics, Computer Science & Engineering, or Business Analytics.
- Ability to bridge business and technology teams through requirements gathering, process mapping, solution design, testing, and implementation of operational and data-driven solutions.
- Strong programming skills: Python and SQL.
- Experience with developing web‑based analytical applications (e.g., using Streamlit, Dash, Flask, FastAPI, Django, or similar frameworks).
- Power user of AI tools, with a strong understanding of AI capabilities, limitations, and risks.
- Hands-on experience with data visualization and BI tools, such as Power BI, Looker, Streamlit, or similar platforms.
- Good understanding of trade lifecycle and reconciliation processes.
- Good understanding of investment products, including equities, fixed income, alternatives, and pooled funds.
- Excellent problem‑solving abilities, attention to detail, and the ability to manage multiple priorities.
Nice to haves
- Experience with relevant investment tools and market data providers (e.g., Bloomberg, FactSet, MorningStar).
- Understanding of the Software Development Lifecycle (SDLC), including requirements gathering, solution design, testing, deployment, and post-implementation support.
- Experience with GitHub Copilot.
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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