Sr. Consultant/Manager - Credit Risk Strategy

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager - Credit Risk (Loss Forecasting) to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of loss forecasting techniques within the credit risk domain, to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Loss Forecasting Model Development: Design, develop, and validate models for loss forecasting that align with regulatory requirements and internal business needs.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements

1. Minimum of 5 years of experience in credit risk management, focusing on loss forecasting in the financial services industry.
2. Strong understanding of loss modeling techniques, including vintage analysis, PD, LGD, roll rate models, and macroeconomic drivers.
3. Proficient in data analysis and visualization tools, including Python, R, SQL, and advanced Excel.
4. Experience with model validation and regulatory compliance related to credit risk forecasting.
5. Exceptional analytical and problem-solving skills, with a strong attention to detail.
6. Excellent communication skills, with the ability to articulate complex concepts to non-technical stakeholders.
7. Hands on Experience in Data science aspects of Forecasting Models like feature engineering, model selection and model application

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.