S

State Street

Holds assets for institutions and runs index funds

Technical Business Analyst - Multiple Teams

Full-TimeDeadline 1/1/27
$65k - $113.8k/yr+ Annual performance-based awards + 401(k) match
Entry, Junior
Bachelor's
Boston, MA, USA+1 moreMore locations: Stamford, CT, USA
In PersonRegular in-office presence is required.
Business & StrategyBusiness Analysis
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A bachelor's degree is required.
  • Candidates should have 0–3 years of relevant experience in business analysis, data analysis, technology, or financial services; internships and project experience are considered.
  • Candidates need hands-on experience using AI tools for analysis, documentation, coding, and productivity.
  • Candidates need to understand AI agents and agentic workflows, including how agents use tools, data, prompts, and orchestration to complete multi-step tasks.
  • Candidates must be able to write effective prompts, critically evaluate AI outputs for accuracy, and apply human review before use.
  • Candidates need awareness of responsible AI principles, data privacy, security, and model risk considerations in regulated financial services.
  • Candidates need foundational experience or strong aptitude in requirements gathering, process analysis, and documentation.
  • Candidates must be able to explain technical topics clearly to business users and build working relationships with investment, operations, technology, and vendor stakeholders.
  • Candidates must be able to manage multiple priorities, take ownership, and ask appropriate questions.
  • Candidates need the ability to work with large datasets to identify trends, anomalies, and data-quality issues, and exposure to data validation, reconciliations, and root-cause analysis.
  • Candidates need working knowledge of SQL, including queries, joins, and basic data manipulation.
  • Programming knowledge in at least one language is required.
  • Candidates need an understanding of relational databases, data models, and data warehouse concepts.
  • Regular in-office presence at the Stamford, Connecticut office is required.
Responsibilities
  • Gather, analyze, and document business requirements from investment, operations, product, and technology stakeholders.
  • Translate requirements into user stories, process flows, data mappings, business rules, and acceptance criteria.
  • Perform data analysis, validations, reconciliations, and root-cause analysis to support business initiatives and resolve issues.
  • Support data-quality activities, including exception management, remediation, and control checks.
  • Assist with designing and delivering reports, dashboards, and analytics.
  • Identify opportunities to use AI tools and AI agents to automate repetitive tasks, accelerate analysis, and improve documentation and reporting.
  • Help design, test, and document AI-assisted and agent-based workflows, validating outputs and ensuring they are controlled and aligned with firm AI governance.
  • Participate in testing, release validation, user acceptance support, and post-production support activities.
  • Build relationships with business users, technology teams, and vendors; provide clear status updates and follow through on commitments.
  • Support platform enhancements, upgrades, issue resolution, onboarding, and user adoption.
Desired Qualifications
  • A degree in Computer Science, Information Systems, Information Technology, Engineering, Mathematics, Finance, or Economics is preferred.
  • Python is strongly preferred for data analysis, automation, and reporting.
  • Familiarity with ETL concepts, APIs, and file-based integrations is a plus.
  • Exposure to reporting and dashboard tools such as Power BI, Tableau, or similar technologies is desirable.
  • Interest in or basic knowledge of investment operations, portfolio accounting, performance measurement, and investment reporting is preferred.
  • Exposure to eFront products such as FrontInvest and Insight, or platforms like Burgiss, Argus, Dynamo, PFaroe, Preqin, or Aladdin, is an advantage but not required.
  • Coursework, certifications, or personal projects in AI, machine learning, data analytics, or automation are a strong plus.
  • Interest in financial services and alternative investments is preferred.

About the company

State Street holds and services investments for pension funds, insurers, fund companies, and other large institutions, and it also runs index funds through State Street Investment Management. It launched the first US-listed exchange-traded fund, the SPDR S&P 500 ETF Trust, in 1993, and in 1924 it became custodian of the first US mutual fund. As a custody bank, it safekeeps clients' stocks and bonds, completes their trades, calculates what their funds are worth, and lends their securities to other investors. It earns fees on the assets it services and manages, plus income from currency trading and from interest on client cash. State Street traces its roots to a bank chartered in 1792 and is based in Boston, Massachusetts.

Company Size

10,001+

Company Stage

IPO

Headquarters

Boston, Massachusetts

Founded

1792

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Simplify Jobs

Simplify's Take

What believers are saying

  • Fees, not lending, drive results: fees were 79% of revenue and grew 17% in the June 2026 quarter.
  • Equity has gained value: shares rose 36% from January to October 2026, beating custody rival Northern Trust's 23%.
  • Tech roles lead hiring: 477 of State Street's 1,133 open jobs in October 2026 were in information technology.

What critics are saying

  • Cuts continue despite record revenue: State Street booked $190 million in layoff charges from October 2025 to March 2026.
  • Its closest rival is more profitable: BNY kept 40% of mid-2026 revenue as pre-tax profit, versus State Street's 34%.
  • Legal risk lingers: Vanguard paid $29.5 million in March 2026 to exit an 11-state coal antitrust suit State Street fights.

What makes State Street unique

  • It doubles as a fund giant: it managed $6.3 trillion in June 2026, nearly triple custody rival BNY's $2.2 trillion.
  • Rival fund firms run on its back office: it services over 3,000 ETFs, about 39% of global ETF assets.
  • Fund managers trade through its software: it bought trading-system maker Charles River for $2.6 billion in 2018.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • Flexible Work Hours
  • Remote Work Options
  • Professional Development Budget
  • Tuition Reimbursement
  • Paid Holidays
  • Employee Referral Bonus

Growth & Insights and Company News

6 month growth

-8%

1 year growth

-8%

2 year growth

-8%
The Business Journals
Oct 27th, 2026
State Street backs Texas Stock Exchange as capital tops $440M

State Street has invested in the Texas Stock Exchange (TXSE), lifting the exchange's total capital to $440 million. The financial giant joins a list of big-name backers. TXSE is stepping up listing activity as it challenges the New York Stock Exchange and Nasdaq.

Kalkine Media
Oct 27th, 2026
State Street takes 5.15% voting stake in Mesoblast, holding 66,995,252 shares

State Street Corporation and its subsidiaries became a substantial shareholder in Mesoblast Limited on October 23, 2026. They hold a relevant interest in 66,995,252 ordinary shares, equal to 5.15% of voting power. The Form 603 initial substantial holding notice was filed on October 27, 2026, under Section 671B of the Corporations Act 2001. The interests are spread across several State Street entities, including State Street Global Advisors Australia Limited and State Street Bank and Trust Company. Most arise from investment manager and trustee powers over voting and disposal of shares. The bank's interest stems from securities lending arrangements. Registered holders named in the filing include Citibank NA, CalSTRS, and the Teacher Retirement System of Texas.

Yahoo Finance
Oct 18th, 2026
State Street Q3 profit per share jumps 33% to $3.69 as revenue hits $4B

State Street reported a 33% year-over-year rise in third-quarter per-share earnings to $3.69. Total revenue grew 13% to $4 billion, the company said on its October 14, 2026 earnings call. Net interest income rose 21% to $864 million, driven by a wider net interest margin and higher average interest-earning assets. State Street expects over 500 basis points of positive operating leverage in 2026. The bank won a servicing mandate from one of the largest US registered investment advisors, pairing its front-office software with custody services. Alternative asset servicing fees grew at a double-digit rate. Assets under custody and administration reached a record $59.2 trillion.

SaasRise
Oct 17th, 2026
AI cloud-spending split deepens divide between funded SaaS leaders and cash-strapped players.

AI cloud-spending split deepens divide between funded SaaS leaders and cash-strapped players. SaasRise - Oct 17, 2026 New data shows a widening gap as large SaaS providers pour record dollars into AI-driven features, while indie hackers and mid-market firms scramble with limited cash and risky infrastructure choices. The split threatens expansion revenue for the stretched and accelerates moats for the funded. Why it matters. The AI cloud-spending divide creates a two-tier SaaS market. Funded players can accelerate AI-driven product development, lock in expansion revenue, and build defensible moats that attract premium valuations. Meanwhile, cash-strapped firms risk stagnation, higher churn, and reduced competitive relevance. For operators, the split forces a strategic choice: double-down on AI spend and secure financing, or double-down on lean, product-led growth and avoid costly infrastructure missteps. Investors must recalibrate risk models, weighting AI spend efficiency and cash runway more heavily than ever. Long-term, the split could catalyze consolidation. Larger SaaS platforms may acquire niche AI-focused startups to fill feature gaps, while smaller firms might spin out AI-lite modules to remain viable. The pressure on mid-market SaaS to either secure deep funding or adopt ultra-efficient cloud stacks will shape the next wave of category creation and competitive moats in the industry. Key points. * State Street's SaaS platform revenue rose 5% YoY to $175 M; software ARR grew 8% to $442 M. * Indie hackers: only 8-10% clear $10K MRR; median lifetime earnings near zero. * Phillip Merrick (pgEdge) warned that mis-chosen databases can force costly re-engineering for AI workloads. * John Turner Jr. (Regions Financial) noted slowing activity due to rising costs and economics challenges. * AI-focused sessions at TechCrunch Disrupt 2026 signal strong enterprise demand for AI-native infrastructure. Analysis. The emerging AI spend bifurcation mirrors past technology cycles where early adopters reap outsized returns while laggards fall behind. In the early 2010s, cloud-first firms that secured large credit lines could lock in discounted compute, creating cost advantages that persisted for years. Today, AI-native infrastructure is the new commodity, and the capital intensity is even higher. Companies like State Street, with $4 B in total revenue, can absorb the premium on GPU instances and still post double-digit ARR growth. Their ability to bundle AI features into existing SaaS contracts translates into higher net-retention and cross-sell opportunities, reinforcing a virtuous cycle of growth and valuation uplift. For the stretched cohort, the challenge is twofold. First, the cost curve for AI services is steep; without deep pockets, a modest increase in cloud spend can erode margins dramatically. Second, the technical debt of choosing the wrong database or monitoring stack compounds the problem, as Merrick and Ramachandran both highlight. The result is a higher likelihood of performance incidents, customer churn, and ultimately, a weaker competitive moat. Some mid-market firms may attempt to mitigate this by leveraging outsourced finance platforms - K-38 Consulting's guide shows a growing market for fractional CFOs that can help align spend with revenue forecasts. However, such services are a stop-gap, not a substitute for the scale needed to fund AI-heavy roadmaps. Strategically, the split creates a clear incentive for consolidation. Larger SaaS players will likely target niche AI-focused startups that have built specialized models but lack the infrastructure budget to scale. Acquisitions can instantly bolt AI capabilities onto robust, well-funded platforms, preserving the latter's growth trajectory while giving the acquired startup a runway. Conversely, cash-strapped firms may spin off AI-lite modules or pursue partnership models that share infrastructure costs. The net effect will be a more polarized SaaS ecosystem, where capital intensity becomes a primary determinant of market leadership. In the near term, operators should audit their AI spend against unit economics, prioritize telemetry that can surface intermittent performance issues, and consider fractional finance partners to keep runway intact. Investors, meanwhile, will need to sharpen diligence around AI cost structures, looking beyond headline ARR growth to the underlying cloud spend efficiency. The AI cloud-spending split is not just a budgeting issue - it is reshaping the competitive architecture of SaaS for the next decade.

Kalkine
Oct 15th, 2026
State Street prices $750M senior notes due 2037 with 5.963% fixed coupon

State Street Corporation priced a $750 million offering of fixed-to-floating rate senior notes due 2037, according to a filing on October 15, 2026. Settlement is expected on October 20, 2026. The notes pay a fixed 5.963% coupon, semi-annually, until October 20, 2036. After that, the rate becomes daily compounded SOFR plus 122 basis points. The issue price is 100% of principal, 88 basis points above the benchmark Treasury. State Street may redeem the notes in whole on October 20, 2036. Expected ratings are Aa3 from Moody's, A from S&P, and AA- from Fitch. Goldman Sachs, Morgan Stanley, Scotia Capital, and TD Securities are the joint book-running managers.