Investment Credit Analyst

Overview   Investment Credit Analyst

Location:

Burlington, Ontario (Hybrid)
About Portland Investment Counsel Inc.
Privately owned by Michael Lee-Chin, Portland Investment Counsel Inc. is an Investment Fund Manager, Portfolio Manager and Exempt Market Dealer. We are owners, operators and investors in excellent businesses globally. Join an entrepreneurial team where you’ll be close to decision-makers, contribute across the investment lifecycle, and grow quickly in responsibility.
The Opportunity  We’re hiring an  Investment Credit Analyst  to support credit-related investment research, portfolio management and financing activities across our private and public credit strategies. You’ll build and maintain models, monitor holdings, surface new ideas, and help translate analysis into portfolio actions—while collaborating with trading, client service, and operations.
Responsibilities    Credit research & monitoring:  Collect and analyze issuer, sector, and instrument-level information (financial statements, filings, press releases, presentations) to assess business drivers, capital structures, covenant packages, liquidity, and key risks; prepare concise memos and dashboards for portfolio managers.
Financial modeling:  Build and enhance cash-flow, leverage, recovery, and scenario models; identify primary value and risk drivers, sensitivities, and downside cases; maintain living models for current holdings.
Direct lending underwriting & execution:  Lead borrower due diligence (management interviews, site visits, QoE/vendor reports) and build cash flow/debt capacity models to size facilities and structure term sheets; design covenant packages and security bundles; draft investment committee materials and coordinate with legal/tax/third-party advisors through closing.
Loan documentation & closing process:  Review and help negotiate credit agreements, security/guarantee documents, and intercreditor/subordination arrangements; validate covenant definitions, EBITDA add-backs, baskets, and collateral/perfection; manage closing checklists, conditions precedent/subsequent, and post-closing deliverables.
Ongoing surveillance, covenant management & workouts:  Own monthly/quarterly borrower monitoring (KPIs, liquidity, covenants, variance vs. budget), recommend portfolio actions (amendments, waivers, add-ons, repricings, hedges, partial exits), and contribute to stressed/distressed cases via downside/recovery modeling, collateral valuation, and restructuring/workout support alongside counsel and portfolio managers.
Market awareness:  Track market forces (rates, spreads, trading flows, technicals) and relay timely insights to portfolio managers and traders.
Portfolio support:  Assist with position updates, rebalancing and trade support (including settlements coordination) while ensuring accurate reference data across systems.
Data & systems:  Help build and improve portfolio, client, and data tools across the firm (Excel; SQL/Python preferred); contribute to automation and data hygiene.
Client & distribution support:  Contribute to factsheets, semi-annual and annual reports, marketing decks, and thought leadership; maintain CRM data to support sales activities; help organize portfolio reviews.
Risk, compliance & suitability:  Uphold regulatory standards; contribute to compliance monitoring and documentation.
Qualifications   2–7 years of credit analysis experience—buy-side, sell-side, ratings, commercial or corporate banking credit, or private credit/direct lending.
Undergraduate degree with a background in business administration, commerce, economics, engineering, mathematics, statistics, computer science and/or data science
Strong financial statement analysis and credit modeling (income statement, balance sheet, cash flows; covenants; recovery analysis).
Advanced Excel; aptitude for coding (e.g., Python/SQL/VBA) or willingness to develop quickly.
Clear, concise writing and presentation skills; comfort working in a fast, entrepreneurial environment.
Nice to Have   Masters degree with a background in business administration, commerce, economics, engineering, mathematics, statistics, computer science and/or data science
Exposure…