Fundamental Research Analyst

$85,000 - $100,000/Yr

S&P Global - New York, NY

Full-time - Entry Level

New York, NY

10,001+ employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Fundamental Research Analyst plays a crucial role within the Global Data Management (GDM) team at S&P Dow Jones Indices. This position is responsible for the acquisition, management, and quality assurance of financial data used in the production and maintenance of S&P Dow Jones-branded indices. The analyst will set standards for data management processes, support junior analysts, and present findings to Index Committees, ensuring that data is accurate and timely for decision-making.

Responsibilities

• Act as a process/systems expert in data management operations and a subject matter expert in Financials/ESG data.
• Work collaboratively with a global team of researchers, index managers, IT specialists, and financial data vendors.
• Ensure timely completion of processes for capturing, quality screening, and presenting data for S&P and Dow Jones indices.
• Develop a detailed understanding of data sets used in index production and maintenance.
• Take responsibility for data management of high-profile indices and act as an industry expert.
• Liaise with index committees and present original data items to support maintenance and rebalancing of indices.
• Provide timely and accurate responses to internal and external inquiries.
• Manage relationships with other departments and data vendors to enhance data management processes.
• Lead innovation initiatives through process improvements and automation.
• Produce documentation and specifications for data management logic and collaborate with technology teams.

Requirements

• Bachelor's Degree in a relevant field.
• Demonstrable understanding of global financial markets.
• Self-starter with strong problem-solving skills.
• Excellent time management skills and ability to work independently on multiple projects.
• Strong analytical and quantitative capabilities to solve complex problems.
• Proficient in Excel, PowerPoint, and other MS Office applications.

Nice-to-haves

• Advanced degree in business, finance, or equivalent discipline.
• 3-4 years of professional experience handling financial data, including Company Fundamentals/ESG.
• Intermediate knowledge of SQL/Python/Power Automate for data transformations and process automation.
• Ability to work in a team environment and demonstrate ownership.
• Good communication skills and experience in customer-facing roles.

Benefits

• Health care coverage designed for mental and physical well-being.
• Generous time off to recharge and maintain work-life balance.
• Access to resources for continuous learning and career growth.
• Competitive pay and retirement planning options.
• Family-friendly benefits and perks for partners and children.
• Retail discounts and referral incentive awards.