Senior Credit Data Analyst — Big 4, Remote

Cognitive Credit; Greater London; Híbrido; GBP 65.000 - 90.000; Tempo integral

Benefícios oferecidos por esta vaga

Remote working flexibility

Equal opportunity employer

Resumo da vaga

Cognitive Credit is expanding its financial analytics team to support a Global Credit product in a fast-paced fintech environment. Senior Associates from Big 4 bring expertise in accounting, finance, and data integrity to partner with technology and management.

The role focuses on building and maintaining datasets, financial models across US, European, and Emerging Market credit markets, with a strong emphasis on automation and scalable processes.

Qualificações

• Background in accounting/finance, ACA qualification preferred.
• Strong financial statement analysis and ability to build reports from scratch.
• IFRS expertise; US GAAP knowledge is a plus.
• CFA charterholder or candidate considered an asset.

Responsabilidades

• Process financial reports using the company’s data extraction system.
• Analyze output for accuracy with in-house tools.
• Monitor coverage universe and support live data during earnings season.
• Interact with clients to address data and product questions.
• Collaborate with engineering to review system performance and identify improvements.

Conhecimentos

Big 4 experience

Financial analysis

IFRS experience

US GAAP knowledge

CFA candidate

Excel

Data management

Independent worker

Formação

Accounting/Finance background

ACA qualification

Ferramentas

Excel

Proprietary data extraction system

Descrição da vaga

Cognitive Credit is expanding its financial analytics team to support a Global Credit product in a fast-paced fintech environment. Senior Associates from Big 4 bring expertise in accounting, finance, and data integrity to partner with technology and management.

The role focuses on building and maintaining datasets, financial models across US, European, and Emerging Market credit markets, with a strong emphasis on automation and scalable processes.