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FactSet provides financial data and analytics software to investment professionals through a subscription-based platform. It offers market data, fixed income data, and research management tools that deliver real-time and historical data, along with advanced analytics, to help asset managers, investment bankers, wealth advisors, and other financial professionals make informed decisions. The platform is customizable to fit different clients’ needs, and FactSet also offers consulting and support services to maximize subscription value. The company differentiates itself through a strong focus on client service and ongoing platform updates that incorporate the latest data and analytical techniques, aiming to be a trusted, comprehensive source for financial information. Its goal is to enable better investment decisions by providing access to broad data sets and sophisticated analytics within an integrated suite of tools.
Industries
Data & Analytics
Enterprise Software
Financial Services
Company Size
10,001+
Company Stage
IPO
Headquarters
Norwalk, Connecticut
Founded
1978
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Total Funding
$1.8B
Above
Industry Average
Funded Over
3 Rounds
Health Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
Paid Vacation
Paid Sick Leave
Paid Holidays
Flexible Work Hours
Wellness Program
Employee Stock Purchase Plan
FactSet has acquired BCC Group International, a Germany-based financial software firm specialising in cloud-native market data distribution platforms. The deal expands FactSet's Real-Time Solution Suite and builds on a collaboration between the companies since 2021. The acquisition brings bccg's ONE Platform into FactSet's offering, providing clients with flexible deployment options and modular architecture. The combined solution addresses growing infrastructure demands from 24-hour trading operations, AI integration, and enhanced regulatory requirements. The platform offers an open ecosystem combining exchange feeds, third-party content, and proprietary data with centralised entitlements management and compliance reporting. It supports cloud, on-premises, or hybrid deployment through API-first integration. FactSet serves over 9,100 global clients and 247,000 individual users. BCC Group, founded over 20 years ago, delivers vendor-neutral platforms for banks and trading firms. FactSet said the transaction would not materially impact its financial results.
OpenAI targets junior bankers with new ChatGPT tool. OpenAI has unveiled a new version of ChatGPT aimed at financial-services professionals, putting artificial intelligence directly into the research, financial analysis and presentation-building work traditionally handled by junior investment bankers. The move represents another step in the race to automate some of the most time-intensive entry-level work on Wall Street, while raising questions about how banks will train the next generation of analysts if AI increasingly handles the tasks through which they traditionally learn the business. The product, called ChatGPT for Financial Services, is designed for investment banking and equity research workflows. OpenAI says its financial-services offerings can help teams analyze financial data, conduct research, build and update models, and produce cited outputs from company filings, transcripts, presentations and spreadsheets. OpenAI developed the latest product with financial-industry design partners including Morgan Stanley and Evercore, according to reporting on the launch. The system can connect with financial-data platforms including LSEG, Daloopa and PitchBook, allowing users to work with data they already have access to rather than relying solely on general web information. AI moves deeper into junior-banker work. For decades, junior investment bankers have performed much of the research, spreadsheet analysis and presentation preparation that supports senior bankers and clients. Those tasks can involve gathering information on companies, analyzing financial statements, preparing comparable-company analyses, building models and assembling pitchbooks. OpenAI's financial-services strategy increasingly targets those workflows. The company has already introduced ChatGPT for Excel, allowing users to build, update and analyze financial models within spreadsheets. OpenAI said its financial integrations can bring data from providers including FactSet, Dow Jones Factiva, LSEG, Daloopa and S&P Global into ChatGPT-based workflows. The latest push takes that automation further by positioning ChatGPT as a tool capable of completing multiple steps of an analyst's workflow. In a demonstration described in coverage of the launch, the system analyzed a potential acquisition, retrieved financial information and produced a PowerPoint presentation formatted according to a bank's style requirements. The demonstration illustrates the intended use of the technology but does not constitute an independent assessment of its accuracy or performance. OpenAI is also emphasizing controls that are particularly important in financial services, including citations that allow users to trace information back to source material and tools for checking charts against underlying data. Its enterprise products include administrative, security and access controls for organizations handling sensitive information. Morgan Stanley and other banks are already using AI. The launch comes as major financial institutions expand their use of artificial intelligence. Morgan Stanley has worked with OpenAI on AI tools for its financial advisers. OpenAI says more than 98% of Morgan Stanley's adviser teams actively use its internal AI assistant, which helps advisers retrieve information from the firm's knowledge base. OpenAI's broader financial-services strategy covers research, analysis, operations and client services. The company says financial institutions including Morgan Stanley, BNY, Fidelity International, MUFG and Commonwealth Bank are using or evaluating its tools. That adoption could accelerate as AI systems become better at handling lengthy documents, spreadsheets and multi-step research tasks. Concern over the future of junior bankers. The technology also intensifies a debate that has been growing across Wall Street: if AI performs the basic work, how will junior employees acquire the skills needed to become senior bankers? Junior bankers have traditionally learned by doing repetitive work. Reviewing filings, building models, checking numbers and preparing presentation slides can be tedious, but the process also teaches analysts how transactions work and how financial information is interpreted. That concern is not unique to OpenAI's latest product. Earlier discussions among junior bankers and industry recruiters have highlighted worries that eliminating routine work could weaken the apprenticeship model that has traditionally developed financial professionals. OpenAI says AI can increase productivity rather than simply eliminate employees. The company has similarly described its broader financial-services products as tools that allow investment professionals to spend less time on manual work and more time on analysis, judgment and decision-making. But the distinction between augmentation and replacement could become increasingly difficult to maintain if AI systems can reliably perform larger portions of an analyst's workflow. The development is particularly significant for young professionals seeking careers in investment banking and financial services. If banks can automate a substantial share of entry-level research and presentation work, hiring models could eventually change even if AI initially serves as an assistant rather than a replacement. For OpenAI, meanwhile, financial services represents an important test of its broader strategy of building specialized AI products for major industries. The company is seeking to move ChatGPT from a general-purpose assistant into software that can operate inside highly regulated, data-intensive professional workflows. The larger question for Wall Street may therefore not be whether AI can do a junior banker's work, but how much of that work banks will ultimately want humans to continue doing.
FactSet Research Systems has expanded its revolving credit facility by 50% to $1.5 billion and extended debt maturities. The amendment, dated 28 August 2026, extends the revolving facility's maturity to August 2031 and pushes the $375 million term loan maturity to August 2029. The company eliminated scheduled amortisation payments on the term loan and removed a 0.10% credit spread adjustment, reducing borrowing costs. These changes provide FactSet with increased liquidity and financial flexibility for potential acquisitions, share repurchases, or other corporate initiatives. The transaction was executed with a syndicate of lenders led by PNC Bank, including Bank of America, Citibank, JPMorgan Chase, Wells Fargo, and HSBC.
Finster AI has secured a strategic investment from UBS Investment Bank as part of its Series B funding round, alongside FactSet. The AI-native platform supports research, analysis, and content workflows across investment banking and asset management. Finster integrates structured financial data, unstructured content, and institutional knowledge to generate insights and enhance client engagement. The platform can create briefing decks, model companies and markets, and monitor sectors for emerging trends and competitive activity. The technology is being developed in collaboration with FactSet, whose AI for Banking platform provides a secure environment for workflow automation. Finster integrates with internal and external data sources and connects with Microsoft Excel and PowerPoint. The investment will support development of enterprise-grade AI infrastructure tailored to investment banking, including expanded workflow capabilities and deeper data integrations.
Quant Insight has integrated its Macro Factor Equity Risk Model (MFERM) into FactSet's Portfolio Analytics platform, making macro risk analytics accessible to FactSet's global client base. The integration embeds daily macro risk measurement directly into existing investment workflows. MFERM covers over 16,000 instruments globally, including equities, ETFs, and indices across the US, Europe, and Asia-Pacific, with daily updates. The model measures portfolio exposure to seven macro factors: growth, rates, credit, inflation, foreign exchange, commodities, and risk aversion. The tool calculates a Macro Share of Risk metric, showing how much of a portfolio's forecast risk stems from macroeconomic factors versus company-specific elements. It complements traditional style-factor models rather than replacing them. FactSet clients can now access MFERM within their existing platform environment. The integration aims to bridge bottom-up portfolio construction with macro forces affecting investment outcomes.
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Industries
Data & Analytics
Enterprise Software
Financial Services
Company Size
10,001+
Company Stage
IPO
Headquarters
Norwalk, Connecticut
Founded
1978
Find jobs on Simplify and start your career today