About [Employer hidden]

[Employer hidden] is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on [Employer hidden] to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: https://[Employer hidden].com/

Working at [Employer hidden]

[Employer hidden] hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, [Employer hidden] employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more.

Role

[Employer hidden] Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe.

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across [Employer hidden]'s non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs
• Develop and enhance the financial data quality control framework
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies
• Support internal and external mapping exercises
• Identify, design, and implement automation solutions to streamline repetitive data operations
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates
• Assist the Fundamentals analyst teams with ad-hoc internal data requests
• Develop a deep understanding of how [Employer hidden] clients use the platform

Requirements

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards
• Familiarity with credit instruments and credit market dynamics
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query
• Proficiency in Python and/or SQL for data manipulation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI
• Working knowledge of AI tools and large language models

Equal Employment Opportunity

[Employer hidden] is committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status.