Senior Analyst, Private Corporate Credit (Financial Data Analytics)

Location: Chicago, United States; hybrid work with four days in-office each week in most locations.

Total cash compensation: $92,000.00–115,816.66 annually, inclusive of annual base salary and target incentive.

Company

Independent credit rating and research services provider covering corporate, sovereign, financial institution, project, and structured finance instruments globally.

What you will do

• Source, validate, organize, and analyze financial and economic data from multiple platforms for leveraged finance research and credit analysis.
• Design, develop, and maintain data structures and analytical tools using Excel, Python, SQL, and other platforms.
• Create charts, tables, and data visualizations for leveraged finance research and credit publications.
• Apply time-series and cross-sectional quantitative methods to identify trends across financial markets and leveraged finance.
• Support credit analysis and ongoing surveillance of small to medium-sized, highly leveraged companies by reviewing financial statements and assessing credit fundamentals.
• Prepare rating committee materials, develop credit recommendations, participate in rating committee discussions, and build relationships with lenders, investors, and bankers.

Requirements

• Two to four years of relevant professional experience in financial data analytics, quantitative research, corporate credit analysis, leveraged finance, corporate lending, or a related analytical discipline.
• Bachelor’s degree in finance, economics, business, data analytics, or a related field.
• Strong financial and quantitative analytical skills, including experience with financial statements, economic data, and large financial datasets.
• Experience with time-series and cross-sectional data analysis and applying quantitative methods to financial markets and credit research.
• Advanced proficiency in Microsoft Excel and strong working knowledge of Python and SQL for financial data analysis, manipulation, and reporting.
• Strong written and verbal communication skills, with the ability to translate complex financial data into clear, actionable insights.
• A proactive, collaborative approach, strong attention to detail, and the ability to manage multiple priorities in a fast-paced environment.

Nice to have

• Progress toward the CFA designation.
• Familiarity with data visualization tools such as Tableau.
• Experience using AI platforms such as Microsoft Copilot or Claude for research, data analysis, or workflow efficiency.

Culture & Benefits

• Hybrid work environment focused on regular in-person collaboration, with flexibility as needs change.
• 401(k) match up to 6% of salary, stock ownership potential, and company-provided life insurance.
• Medical, dental, and vision coverage, HSA contributions, wellness incentives, and disability insurance.
• Trust-based time off, paid sabbatical, family caregiving and parental leave, adoption assistance, and paid volunteering days.
• Leadership coaching, formal mentorship, tuition reimbursement, an annual flex stipend, and employee resource groups.
• Personal investment disclosure and compliance review requirements apply, including approved-broker requirements for certain U.S. employee accounts.