Senior Credit Risk Analyst (scorecards)
Ventula Consulting
- Industry Type
- Consulting, Management Consulting, Advisory Services
- Functional Area
- Finance Industry Consulting, ManagementConsulting, AdvisoryServices
- Nationality
- Any
- Keywords
- Credit Risk Analysis Scorecard Development Project Analysis Client Support
Job Description
Ventula Consulting is looking for a Senior Credit Risk Analyst in London to support the development of scorecards. The role involves providing analytical support and project analysis to external clients and responding to their queries.
- Position
- Senior Credit Risk Analyst (scorecards)
- Company
- Ventula Consulting
- Location
- London, United Kingdom
- Industry
- Consulting, Management Consulting, Advisory Services
- Experience
- 1 to 20 years
Responsibilities
- Provide analytical support to external clients.
- Assist in project analysis.
- Answer client queries.
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About the role: Senior Credit Risk Analyst (scorecards)
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Senior Credit Risk Analysts specializing in scorecards assess and manage credit risk by developing and validating credit scoring models. They typically work in consulting firms, financial institutions, or advisory services, helping organizations make informed lending decisions.
What this role usually involves
- Develop and validate credit risk scorecards and models.
- Analyze credit data to identify risk patterns and trends.
- Collaborate with stakeholders to improve credit risk strategies.
- Prepare reports and presentations on credit risk findings.
- Ensure compliance with internal policies and industry standards.
Skills employers usually look for
- Strong analytical and statistical skills.
- Proficiency in credit risk modeling techniques.
- Good knowledge of data analysis tools and software.
- Effective communication and presentation skills.
- Attention to detail and problem-solving abilities.
Usual qualifications
- A degree in finance, economics, statistics, or a related field is usually expected.
- Experience with credit risk modeling and scorecard development is often required.
- Familiarity with statistical software such as SAS, R, or Python is beneficial.
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