Associate Portfolio Manager, Credit Investing

Purpose Unlimited is an independent financial services company with an unrelenting focus on customer-centric innovation, delivered through technology-driven solutions. Led by entrepreneur Som Seif, the company is developing a diversified product platform aimed at addressing historically underserved segments of the market. Purpose Unlimited’s businesses include Purpose Investments, Advisor Solutions by Purpose, and Driven.

Who is Purpose Investments?

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 Much of what is available to the average Canadian investor today is outdated and expensive.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.

Vacancy Status: This is for a current opening.

Compensation: $135,000 - $165,000

Responsibilities: What you will own

The mandate is simple and unambiguous; generate alpha through differentiated credit insight while protecting downside risk – at scale, with conviction, and with AI as your edge.

This is a true investing role. You will own positions – not just analyze them. You will contribute to capital allocation decisions, not prepare slide decks for others to make them. You will be given the tools, the data infrastructure, and the AI capability to move faster and see further than the market. What you bring is the judgment to act on what you see.

You are joining Purpose's credit investment team at a moment when high yield and opportunistic credit are being reshaped by data, technology and AI-driven investment process advancements and accelerating market complexity. The investor who thrives here combines deep fundamental skill with the fluency to direct AI workflows, override them when the model is wrong, and synthesize signal from noise at a pace the previous generation of credit analysts could not match.

What you will do

• Develop and defend differentiated credit theses with clear catalysts and risk/reward frameworks
• Exercise judgment at the intersection of data and uncertainty – particularly in stressed and distressed situations
• Build genuine issuer relationships that surface information before it reaches the market
• Challenge AI-generated outputs when your read of the credit diverges from the model
• Translate macro developments into actionable conviction in a high-conviction portfolio

Where you will have impact

Idea Generation & Investment Ownership

• Source and develop high-conviction opportunities across high yield bonds, leveraged loans, and stressed credit – with AI accelerating your screening and you supplying the judgment on what to act on
• Own select positions end-to-end: underwriting, monitoring, and exit decisions
• Develop differentiated views with explicit catalysts, risk/reward frameworks, and clear theses you can defend under pressure

Credit Underwriting & Risk Assessment

• Lead fundamental issuer analysis – business quality, financial profile, industry dynamics – using AI-assisted modelling as a starting point, not a conclusion
• Evaluate capital structures, covenant protections, and recovery scenarios with enough depth to surface the non-obvious
• Stress-test models across base, downside, and tail-risk cases; assess liquidity and default probability with rigor

Portfolio Construction & Capital Allocation

• Actively contribute to sizing, diversification, and risk-budgeting decisions – this is capital allocation work, not support work
• Participate in entry, exit, and rebalancing decisions as an accountable contributor, not a preparer of materials

Market Intelligence & AI-Augmented Research

• Develop and maintain views on credit markets, spreads, and liquidity that translate directly into portfolio positioning
• Direct AI tools to synthesize sector dynamics, issuer data, and macro signals – you set the agenda, AI surfaces the evidence
• Identify dislocations and thematic opportunities before they are consensus; treat early-warning signals from AI surveillance systems as a competitive advantage to be acted on

Qualifications: What you bring/ What you must have

• 4–8 years in credit investing, leveraged finance, or investment banking with a clear track record of analytical ownership – not just support
• Deep fluency in high yield bonds, leveraged loans, and credit markets; you understand these instruments well enough to see what others miss
• Demonstrated capacity to build and stress-test financial models with conviction, not just competence
• Judgment under uncertainty – you have made calls that were yours, defended them, and learned from what happened

What will set you apart

• Ongoing curiosity to improve and learn new skillset to become best credit investor in the world
• Experience directing AI tools (Bloomberg GPT, LLM-based research assistants, automated surveillance systems) to accelerate your workflow without outsourcing your thinking
• CFA chart