The responsibilities of this position will include, but not be limited to, the following: - Develop and manage model development strategy for balance forecasting of deposits, forecasting of fee income and expense. - Communicate design and results of complex models to a variety of audiences, including senior management, bank supervisors, Model Governance, Internal Audit and LOB end users. Coordinate with business partners, including production teams, and end users to ensure accurate model usage and implementation - Adhere to model validation governance to ensure models are in compliance with policy and are working as intended, address model validation and regulatory feedback issues. - Managing in a detail oriented, results driven, quickly changing, and high demand environment while balancing multiple priorities Required Qualifications: - Master's degree or higher in a quantitative field such as Statistics/Economics - 3+ years of experience Risk Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education - 5+ years of experience in credit risk modeling and analytics - 5+ years of advanced programming expertise in SAS or Python or R - Strong documentation capabilities - Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment - Excellent verbal, written, and interpersonal communication skills - Strong ability to develop partnerships and collaborate with other business and functional areas Desired Qualifications: - Excellent verbal, written, and interpersonal communication skills - Perform various complex activities related to predictive modeling - Provide analytical support for development, remediation, and monitoring of Deposit & PPNR, Operational, Liquidity Risk, Financial Crimes models - Support development, implementation, execution and monitoring of Regulatory models such as Basel, CECL, and CCAR models - Develop dynamic dashboards; analyze key risk parameters to help understand changes in business and model performance - Identify opportunities and deliver process improvements, standardization, rationalization and automations. Enhance and standardize performance analysis, reporting packages and business loss forecast processes - Maintain documentation for development, implementation and monitoring of processes across the team with focus on standardization of controls - Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization

Hyderabad

Senior Quantitative Analyst - Credit Risk - Model Monitoring 

Job Description for Senior Quantitative Analyst - Credit Risk - Model Monitoring  in Anlage Infotech (I) Pvt. Ltd. in  Hyderabad for (4-8) years of experience. Apply Now!