Full-Time
Senior Analyst
Infrastructure & Project Finance
S&P Global
10,001+ employees
Delivers credit ratings, market data, indices
Compensation Overview
$112k - $153k/yr
Toronto, ON, Canada + 1 more
More locations: New York, NY, USA
Hybrid
At least two days per week in the office; finalists must attend at least one in-person interview.
Bachelor's, Master's
 Finance & Banking (1) |
|---|
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- Energy or infrastructure background with an understanding of credit analysis gained in transactional, analytical, or credit roles.
- Ownership and execution maturity across multiple credits, delivering high quality with limited oversight and modeling values-led behavior.
- Strong collaboration and relationship management, influencing through credibility and constructive challenge.
- Coaching capability that improves team consistency through shared standards and tools.
- A continuous improvement mindset.
- AI fluency with sound judgment.
- Strong credit, financial, and risk analysis skills linking drivers to forward-looking views and risk appetite.
- Practical experience embedding artificial intelligence, large language models, or agents into workflows to improve productivity and insight.
- Strong analytical tool capability and willingness to learn data and automation tools to facilitate artificial-intelligence-enabled workflows.
- Strong synthesis skills for concise narratives for senior stakeholders and committees with transparent evidence.
- Effective written and verbal communication skills to present research and analysis clearly and structurally in support of informed decision-making.
- High standards for quality, traceability, and governance, with the ability to operate effectively in controlled environments.
- Sound judgment regarding responsible artificial intelligence use.
- Ability to contribute to scalable automation and agent workflows.
- A bachelor's degree or equivalent is required.
- Provide day-to-day guidance and coaching to Research Assistants and Rating Analysts, building capability in credit, data discipline, and tooling and reinforcing values-led behaviors.
- Drive consistency and scalability by codifying standard work and promoting disciplined adoption to strengthen trusted, repeatable insights.
- Strengthen artificial-intelligence-enabled productivity by creating reusable assets and proposing lightweight automation that frees capacity for human analysis and relationship work.
- Foster continuous improvement by proposing enhancements that remove manual steps without compromising governance or judgment.
- Partner with senior team members and Data and Engineering to identify and scale artificial-intelligence and automation use cases with governance by design, controls, and adoption support.
- Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery across priorities with clear accountability.
- Own surveillance and updates for the assigned portfolio, synthesizing performance, market signals, and peer context into decision-useful insights and clear implications for risk.
- Support large-language-model tools and automation embedded in workflows through structured validation and refinement using analytical judgment to maintain trusted conclusions.
- Operate alongside artificial-intelligence agents in recurring workflows.
- Prepare and review inputs, reconcile metrics, and document assumptions and changes to ensure adherence to methodologies and standard operating procedures.
- Prepare and review key outputs to ensure clarity and alignment with methodology, sector frameworks, and evidentiary standards.
- Support maintenance and review of models to ensure robustness, repeatability, and clear linkage to risk views.
- Engage with external parties alongside senior team members.
- Craft client- and executive-ready stories that translate complex data, analysis, and research into clear narratives, advise on issues within clear parameters, integrate and communicate complex information, and drive engagement with market participants.
- Build trusted stakeholder relationships through emotionally intelligent, collaborative, and adaptable delivery.
- Ensure adherence to methodology, confidentiality, and data governance, and escalate issues early with options and recommendations to protect integrity and trust.
- Embed responsible, governed artificial-intelligence use by using approved tools and data and protecting confidential information.
- Drive controlled automation and agentic workflows by contributing to design requirements and controls, supporting testing and rollout, and training others.
- Support decisions relating to guardrails for automation by defining what can be automated versus what must remain human-led, especially material risk calls and committee conclusions.
- A master's degree or professional certification such as Chartered Financial Analyst is highly valued.
- Willingness to rapidly pivot into different sectors to meet client and analytical needs across the practice.
S&P Global supplies financial information, analytics, and benchmarks to investors, corporations, and governments. Its offerings include credit ratings, market intelligence, and indices, along with price assessments and energy data. Clients access these tools through subscriptions, licensing, and transaction-based services, integrating data and research into their workflows. The company aims to help clients assess risk, make informed decisions, and drive growth while upholding corporate responsibility and ESG commitments.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1917
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Simplify's Take
What believers are saying
- Q2 2026 pro forma revenue rose 11%, with adjusted EPS up 23%.
- Ratings grew 17% and Indices grew 20% in Q2 2026.
- Management reiterated 2026 guidance and planned over $7 billion of buybacks.
What critics are saying
- Saugata Saha left Market Intelligence in July 2026, creating execution risk during integration.
- Market Intelligence and Energy grew only 6% and 2% in Q2 2026.
- If Microsoft commoditizes discovery, S&P Global’s premium data moat erodes fast.
What makes S&P Global unique
- July 2026 Mobility spin-off sharpened S&P Global into higher-margin data, ratings, and indices.
- S&P Global Ratings remains a trusted gatekeeper for debt markets and issuer access.
- Microsoft 365 Copilot integration embeds proprietary data directly inside enterprise analyst workflows.
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Benefits
Health Insurance
Unlimited Paid Time Off
Professional Development Budget
401(k) Company Match
Family Planning Benefits
Employee Discounts
Company News
The S&P 500's dividend yield has fallen to a record low of just above 1%, according to Charlie Bilello, chief market strategist at Creative Planning. Whilst dividend payouts haven't decreased, stock prices have risen much faster, particularly amongst megacap technology companies that pay little or nothing in dividends. The shift is forcing retirees to adapt their strategies. Steven Yedlin, a 75-year-old retired doctor, has stopped automatically reinvesting dividends and now directs them to high-yield money-market funds instead. Recent dividend suspensions at Papa John's and UWM Holdings highlight the risks. Papa John's scrapped its quarterly payout following an 8.8% revenue decline to $482.4 million, choosing to redirect funds toward franchise incentives and technology improvements instead.
Wolfe Research reports strong second-quarter earnings momentum for S&P 500 companies, with 69% of the 465 firms that had reported by Wednesday beating revenue forecasts. The dollar-weighted revenue surprise reached 3.8%. Corporate guidance for the third quarter shows unusual confidence, with 64% of the 86 companies providing guidance offering midpoints above consensus—the highest proportion since the COVID period. The firm expects S&P 500 operating earnings per share to grow 31% in 2026, or approximately 27% when adjusted for one-time gains from mega-cap technology companies. Wolfe characterises this as the strongest fundamental environment outside a post-recession recovery in over 50 years. Sustainability of growth into 2027 remains uncertain, particularly given heavy capital expenditure on artificial intelligence.
Expand Energy stands out among three companies popular with Wall Street analysts, according to StockStory's independent analysis. The natural gas and oil producer, formerly Chesapeake Energy, achieved 19.4% annual revenue growth over five years. Its $12.66 billion revenue base provides strong negotiating leverage with suppliers. The company also improved its EBITDA profits and efficiency during this period. In contrast, analysts may be overlooking risks at S&P Global and MSCI, despite bullish consensus price targets suggesting upside of 23.9% and 22.3% respectively. S&P Global's earnings per share growth of 8.5% annually lagged behind revenue gains over the past five years. MSCI shows negative return on equity, indicating management lost money attempting to expand the business. The analysis notes that analysts rarely issue sell ratings, partly because their firms often seek business from covered companies.
Bill Ackman's Pershing Square disclosed stakes of approximately $1.1 billion each in S&P Global, Visa, and Mastercard in its second-quarter 13F filing. All three companies collect fees on activity flowing through their systems without taking on lending risk. S&P Global closed at $418.80, about 28% below its 52-week high of $579.05. Visa and Mastercard traded near their highs, roughly 3% and 5% below respectively. S&P Global's gap partly reflects its July spin-off of Mobility division, which trades around $20 per share. The company reported second-quarter revenue of $3.7 billion, up 11% year over year, excluding Mobility. Ratings revenue climbed 17% to $1.3 billion, whilst Indices grew 20% to $534 million. However, Market Intelligence and Energy divisions grew just 6% and 2% respectively. Non-GAAP earnings per share rose 23% to $4.83.
S&P Global Inc. has raised $300 million through senior unsecured fixed-rate notes under its global medium-term note programme. The notes, rated BBB by S&P Global Ratings and Baa3 by Moody's, will be listed on the Global Securities Market and Debt Securities Market of the India International Exchange (NSE IFSC). The issuance forms part of a broader funding strategy to support expansion plans, including investments in AI-driven analytics and data-platform development. By tapping Indian debt markets, S&P Global benefits from preferential tax rates offered through the IFSC framework whilst diversifying its capital-raising channels beyond traditional US debt markets. The transaction demonstrates how multinational firms are increasingly exploring emerging-market debt listings to access new investor pools and optimise funding costs.