Senior Credit Analyst

Linedata; Charlotte (NC); On-site; USD 75,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Generous paid time off

Collaborative team environment

Growth opportunities

Job summary

Linedata is seeking a Senior Credit Research Associate to join our Global Services team, supporting the investment research and portfolio management activities of a leading global asset management organization. In this role, you will perform credit research, financial analysis, and investment support across a diverse portfolio of debt investments.

You will collaborate with investment professionals to assess credit risk, analyze financial statements, review debt documentation, and provide

Qualifications

• 4+ years of credit research experience.
• Experience with US/European capital markets.
• Knowledge of credit agreements and bond indentures.
• Strong Excel modelling and attention to detail.
• Ability to meet deadlines in a fast-paced environment.
• Excellent verbal and written communication skills.
• Team player with professional demeanor.

Responsibilities

• Provide credit research and analytical support to global asset managers.
• Validate system-generated financial statements and models by testing data extraction accuracy and ensuring outputs align with reporting standards, covenant requirements, and client expectations.
• Review a wide range of financial documents, including quarterly/annual reports, lender presentations, compliance certificates, agreements, prospectus, and ad-hoc disclosures to verify data integrity, and refine extraction rules.
• Collaborate with cross-functional stakeholders to drive process improvement initiatives and ensure timely delivery of high-quality outputs.
• Conduct detailed analysis of KPIs, segment-level performance, and capital structures to support investment decision-making.
• Effectively prioritize and manage multiple assignments while meeting demanding deadlines in a fast-paced environment.
• Ensure adherence to high quality standards and industry best practices.

Skills

Credit research

US/European markets

Debt documents

Excel modelling

Independent work

Communication

Team player

Job description

Linedata is seeking a Senior Credit Research Associate to join our Global Services team, supporting the investment research and portfolio management activities of a leading global asset management organization.

In this role, you will perform credit research, financial analysis, and investment support across a diverse portfolio of debt investments. Working closely with investment professionals, you will assess credit risk, analyze financial statements, review debt documentation, and provide insights that support investment decisions.

You will leverage technology and data-driven research tools to validate financial information, improve workflows, and deliver high-quality analysis. This opportunity is ideal for professionals with experience in credit research, private credit, leveraged finance, fixed income, or investment analysis who enjoy solving complex financial challenges in a fast-paced environment.

As part of Linedata's Global Services organization, you will gain exposure to global credit markets while supporting leading investment management firms and collaborating with experienced investment and research professionals.

Responsibilities

• Provide credit research and analytical support to global asset managers investing in a broad range of credit instruments
• Validate system-generated financial statements and financial models by testing data extraction accuracy and ensuring outputs align with reporting standards, covenant requirements, and client expectations
• Review a wide range of financial documents, including but not limited to quarterly/annual reports, lender presentations, compliance certificates, agreements, prospectus, and ad-hoc disclosures to verify data integrity, and refine extraction rules
• Collaborate with cross-functional stakeholders to drive process improvement initiatives and ensure timely delivery of high-quality outputs
• Conduct detailed analysis of KPIs, segment-level performance, and capital structures to support investment decision-making
• Effectively prioritize and manage multiple assignments while meeting demanding deadlines in a fast-paced environment
• Ensure adherence to high quality standards and industry best practices

Skills Required

• Sound experience in credit research (4+ years)
• Exposure to US/European capital markets
• Deep understanding of various debt documents such as credit agreements and bond indentures
• Strong excel modelling and analytical skills with attention to detail
• Ability to independently execute assignments under tight deadlines
• Excellent verbal and written communication skills
• Team player with professional demeanor

Advantageous Skills

• Prior experience in technology-enabled research or data extraction environments
• Familiarity with basic programming concepts, systems thinking, and/or process-oriented problem solving

Why Join Linedata?

Linedata is a global fintech company serving over 700 financial institutions across 50 countries. We combine technology, services, and data to help our clients transform the way they operate.

We offer:

• Competitive salary of $75,000-90,000
• Generous paid time off
• Collaborative and supportive team environment
• Opportunities for professional growth and development

Commitment to Diversity:

We recognize, celebrate, and seek to increase diversity across our organization. Diversity is an asset to organizations and linked to better performance. It is an integral part of how we do business and imperative to our success. As an international Group, we also believe that our people need to reflect our clients and local communities.

Linedata is an Equal Opportunity Employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.

It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation based on an individual's race, color, religion, religious creed, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, marital status, sex, gender, age, sexual orientation, veteran and/or military status, protected medical leaves, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws.