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Digital Assets Analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: Purpose LP
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    Data Analyst, FinTech
  • Finance & Banking
    FinTech
Job Description & How to Apply Below
Purpose Investments Inc, 130 Adelaide St. West, Toronto, Ontario, Canada

Job Description
Posted Tuesday, January 6, 2026 at 5:00 AM

Purpose Investments  is an innovation‑driven asset management company with over $20 billion under management, offering both managed and quantitative investment products. Much of what is available to the average Canadian investor today is outdated and expensive. Purpose Investments’ goal is to constantly innovate, and make investing simple, intuitive and affordable for everyone.

This role sits at the intersection of investing, product innovation, data, and emerging financial infrastructure. As a Digital Assets Analyst, you will be a platform‑builder—scaling Purpose’s digital asset platform by converting market complexity, protocol‑level data, and regulatory change into actionable insights for investment decisions, product design, and strategic direction. You’ll act as a force multiplier for portfolio managers, product leaders, and senior investment leadership.

You have a strong interest in finance and investing, with a solid understanding of both traditional markets and digital assets (cryptocurrencies, blockchain, DeFi). You’re organized, a clear communicator, and a collaborative team player who seeks to work smarter and improve processes. You take ownership, ask thoughtful questions, and thrive in fast‑moving environments. You’re excited to drive the development and management of digital asset investment products by providing analytical insights that shape strategy, enhance offerings, and drive growth.

If you’re passionate about the future of finance and want direct exposure to senior investment leadership, strategic discussions, and a clear path to more responsibility, we’d love to speak with you.

If you enjoy collaborating with a team, being innovative, and are excited about an opportunity to work within a fast‑growing company, we would like to speak to you!

Responsibilities:
What you will do

Own analytical work streams supporting product positioning, fund commentary, whitepapers, and institutional‑grade educational content.

Lead structured competitive analysis across ETFs, on‑chain products, and emerging digital asset vehicles to identify innovation opportunities.

Develop independent, data‑backed views on emerging protocols, tokenization trends, and market structure developments relevant to product strategy.

Contribute materially to product design and launch, including protocol analysis, structural trade‑offs, and implementation considerations.

Proactively design and implement automation and AI‑enabled workflows to modernize digital asset research, monitoring, and reporting.

Translate complex digital asset concepts into decision‑ready insights for PMs, executives, and clients.

Own protocol‑level research covering network economics, incentives, risks, and investment relevance.

Continuously assess regulatory developments and translate implications into product, risk, and operational guidance.

Analyze and help evolve staking and on‑chain infrastructure, including validator performance, network health, risk management, and yield sustainability.

Build and own AI‑enabled, automated analytical tooling (Python, APIs, and on‑chain data) to accelerate research, synthesize market signals, and replace manual workflows with scalable solutions.

Assist management on ad hoc projects related to the integration of new technologies and data sources for digital asset analysis.

Qualifications:

What you will bring

Bachelor’s degree in Finance, Economics, Computer Science, Engineering, Mathematics, or a related field required.

1–3 years of relevant experience in asset management, investment research, product analytics, or fintech/crypto‑native firms.

Exposure to investment vehicles such as ETFs, funds, or managed portfolios preferred.

Programming and automation are core to the role—used to eliminate manual processes and increase analytical velocity (Python, SQL, VBA, or similar).

Strong analytical and quantitative skills, specifically in analyzing blockchain data and tokenomics.

Excellent communication and presentation skills, conveying complex information clearly to diverse teams.

Comfortable across…
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