Credit Risk Analyst (Remote)
Posted 2 days ago by Keystone Recruitment
Negotiable
Undetermined
Remote
EMEA
Summary: We are seeking an experienced Credit Risk Analyst to contribute expertise to AI training initiatives in a remote capacity. The role involves leveraging financial analysis and risk assessment skills to train advanced AI systems, impacting how these models interpret financial data. This position combines traditional credit analysis with innovative technology, allowing for a significant contribution to the development of financial intelligence tools.
Key Responsibilities:
- Review, analyze, and interpret financial statements and credit data to support AI model training
- Develop clear, well-structured credit assessments based on real-world scenarios and datasets
- Document findings in concise written formats suitable for AI learning and evaluation
- Identify financial risks, inconsistencies, and emerging trends within datasets
- Evaluate AI-generated credit analyses and provide detailed, actionable feedback
- Collaborate with cross-functional technical teams to improve training quality and model performance
- Contribute to the refinement of evaluation frameworks and credit analysis standards
Key Skills:
- Proven experience in credit analysis, underwriting, risk assessment, or a related financial discipline
- Strong ability to interpret balance sheets, income statements, cash flow statements, and credit reports
- Exceptional written and verbal communication skills with strong attention to detail
- Advanced analytical and critical thinking capabilities
- High accuracy and professionalism in documentation and reporting
- Ability to work independently in a remote, technology-driven environment
- Comfort adopting new digital tools and workflows
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Title: Credit Risk Analyst (Remote)
Engagement: Hourly contract (independent contractor)
Rate: USD 60-110/hour
Job Summary
We are seeking an experienced Credit Analyst to contribute subject matter expertise to AI training initiatives. In this remote role, you will leverage your financial analysis and risk assessment experience to help train and refine advanced AI systems. Your insights will directly shape how AI models interpret financial statements, assess creditworthiness, and evaluate risk. This opportunity blends traditional credit analysis with innovative technology, allowing you to make a measurable impact on next-generation financial intelligence tools.
Key Responsibilities
- Review, analyze, and interpret financial statements and credit data to support AI model training
- Develop clear, well-structured credit assessments based on real-world scenarios and datasets
- Document findings in concise written formats suitable for AI learning and evaluation
- Identify financial risks, inconsistencies, and emerging trends within datasets
- Evaluate AI-generated credit analyses and provide detailed, actionable feedback
- Collaborate with cross-functional technical teams to improve training quality and model performance
- Contribute to the refinement of evaluation frameworks and credit analysis standards
Required Skills and Qualifications
- Proven experience in credit analysis, underwriting, risk assessment, or a related financial discipline
- Strong ability to interpret balance sheets, income statements, cash flow statements, and credit reports
- Exceptional written and verbal communication skills with strong attention to detail
- Advanced analytical and critical thinking capabilities
- High accuracy and professionalism in documentation and reporting
- Ability to work independently in a remote, technology-driven environment
- Comfort adopting new digital tools and workflows
Preferred Qualifications
- Experience with AI training, data annotation, or financial model validation
- Background in financial modeling or quantitative risk analytics
- Familiarity with regulatory frameworks related to credit risk and financial compliance
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