What are the responsibilities and job description for the Consultant - Credit Risk (Loss Forecasting) position at Tiger Analytics?
About the job
Tiger Analytics is an advanced analytics consulting firm that has established itself as a trusted partner for several Fortune 100 companies. We leverage our expertise in Data Science, Machine Learning, and AI to solve complex business problems and drive value from data. We are seeking a Consultant - Credit Risk to join our dynamic team.
This position will focus on developing and validating loss forecasting models, providing insights for strategic decision-making related to credit risk management.
Responsibilities:
Model Development: Assist in designing and developing loss forecasting models in compliance with industry regulations and internal standards
Data Analysis: Conduct thorough analysis of historical loss data, identifying trends and providing insights that support model development and refinement
Cross-functional Collaboration: Collaborate with different teams, including risk management and financial planning, to ensure the effective application of loss forecasting models
Reporting: Prepare regular reports on model performance and analytical findings, presenting clear insights to relevant stakeholders
Requirements
Minimum of 2 years of experience in credit risk analysis, with a focus on loss forecasting
Strong understanding of statistical analysis techniques and loss modeling methodologies
Proficient in programming languages and tools such as Python, R, SQL, and Excel for data manipulation and analysis
Experience with credit risk frameworks and regulatory requirements is desirable
Excellent analytical and problem-solving skills, with attention to detail
Effective communication skills, capable of presenting complex analytical concepts to non-technical stakeholders
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.