Consultant - Credit Risk (Loss Forecasting)

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 :

1. Model Development: Assist in designing and developing loss forecasting models in compliance with industry regulations and internal standards.

2. Data Analysis: Conduct thorough analysis of historical loss data, identifying trends and providing insights that support model development and refinement.

3. Cross-functional Collaboration: Collaborate with different teams, including risk management and financial planning, to ensure the effective application of loss forecasting models.

4. Reporting: Prepare regular reports on model performance and analytical findings, presenting clear insights to relevant stakeholders.

Requirements

1. Minimum of 2 years of experience in credit risk analysis, with a focus on loss forecasting.
2. Strong understanding of statistical analysis techniques and loss modeling methodologies.
3. Proficient in programming languages and tools such as Python, R, SQL, and Excel for data manipulation and analysis.
4. Experience with credit risk frameworks and regulatory requirements is desirable.
5. Excellent analytical and problem-solving skills, with attention to detail.
6. 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.