Manager, Quantitative Strategies & Analytics

Scotiabank; Toronto; On-site; CAD 120,000 - 190,000; Full time

Job summary

Scotiabank in Toronto, Canada is hiring a Manager, Quantitative Strategies & Analytics to lead data-driven insights and automate processes across investment teams.

You will build quantitative tools, ship dashboards, and apply AI to accelerate decision-making while balancing business and technical depth. Strong collaboration with partners and stakeholders is essential.

Qualifications

• University degree in an analytical field and ability to bridge business and technology teams.
• Strong programming skills in Python and SQL with experience building web-based analytical apps.
• Hands-on with data visualization/BI tools (Power BI/Looker/Streamlit).
• Experience understanding investment products and lifecycle is a plus.

Responsibilities

• Design, enhance, and maintain models, dashboards, and data-driven tools for investment needs.
• Automate workflows to reduce risk and improve scalability.
• Integrate AI capabilities into workflows to modernize processes.
• Engage with stakeholders to translate business needs into analytical requirements.
• Define scope, objectives, and success criteria for analytics initiatives.
• Promote alignment with enterprise values and collaboration.
• Ensure risk management compliance and controls.

Skills

Analytical thinking

Stakeholder collaboration

Communication skills

Problem solving

Education

University degree in Data Science / Financial Engineering / Mathematics / Statistics / Computer Science & Engineering / Business Analytics

Tools

Python

SQL

Power BI

Looker

Streamlit

Dash/Flask/FastAPI

Job description

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Title: Manager, Quantitative Strategies & Analytics

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. 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.