Regulatory Model Developer - Credit Risk Analytics (7-12 yrs)

Job Title : Regulatory Model Developer.

Location : Bangalore/Kolkata.

Experience : 7+ years.

Domain : BFSI - Retail Credit Risk Analytics.

Key Skills : Analytics, Regulatory Modelling, Python, R.

Role Description :

We are looking for an experienced Regulatory Model Developer with a strong background in Wealth Private Banking Risk Analytics.

The candidate will play a crucial role in developing and monitoring regulatory models, ensuring compliance with global regulatory standards, and supporting the bank's risk management strategies.

The ideal candidate should have robust Python proficiency, a deep understanding of regulatory guidelines, and significant experience in Credit Risk Analytics.

Key Responsibilities :

Regulatory Model Development : .

- Develop and monitor regulatory models in line with Basel III requirements and other regulatory standards using Python.

- Ensure all models are compliant with guidelines set by global regulatory bodies such as the PRA, HKMA, and others.

- Maintain and enhance existing models to adhere to updated regulatory standards, including Basel 3.1, CCAR, IFRS9, and SS 1/23.

Compliance and Regulatory Expertise :

- Leverage expertise in regulatory guidelines from PRA, HKMA, and other governing bodies to ensure models meet compliance standards.

- Stay updated on emerging regulations and assess their impact on existing models and risk strategies.

- Collaborate with risk management and compliance teams to align model development with regulatory requirements.

Credit Risk Analytics :

- Apply extensive experience (7+ years) in Credit Risk Analytics for retail or commercial banking to develop robust models.

- Utilize statistical techniques and data analysis to enhance the predictive accuracy and stability of credit risk models.

- Provide insights and recommendations to senior management based on model outputs.

Collaboration and Communication :

- Work closely with stakeholders, including risk, finance, and regulatory teams, to ensure a comprehensive approach to model development and monitoring.

- Communicate complex regulatory modeling concepts and results effectively to both technical and non-technical audiences.

Technical Proficiency :

- Demonstrate strong proficiency in Python for model development and regulatory monitoring.

- Utilize knowledge of GCP (Google Cloud Platform) for data storage, model development, and deployment as needed.

- Leverage experience in SAS or other statistical software as an added advantage.

Required Qualifications :

- Proven experience (7+ years) in Credit Risk Analytics within a Retail or Commercial Bank.

- Strong proficiency in Python for regulatory model development and monitoring.

- Deep understanding of regulatory guidelines and standards, including Basel 3.1, CCAR, IFRS9, SS 1/23, and others.

- Knowledge of GCP (Google Cloud Platform) is a plus.

- Experience with SAS or other statistical tools is an added advantage.

- Excellent analytical, problem-solving, and communication skills.