Location: Mumbai.

Experience: 7 to 10 Years.

Qualifications.

- Bachelor & or master's degree in computer science, Information Technology, Finance, or a related field.

- 7+ years of experience in credit risk management, particularly in the LAP sector.

- 5+ years of experience in setting up and managing rule engines or business rules management systems (BRMS).

- Strong understanding of credit risk principles, property valuation, and legal due diligence.

- Experience with digital lending platforms and automated decision-making systems.

- Familiarity with RBI regulations and compliance requirements.

- Excellent analytical, problem-solving, and project management skills.

- Experience with API integrations, and data mapping.

Additional Information:

- Experience: 7+ years of experience in credit risk management, particularly in the LAP sector.

- 5+ years of experience in setting up and managing rule engines or business rules management systems (BRMS).

Job Summary:

- We are seeking a dynamic and experienced Rule Engine Setup Manager to lead the implementation, configuration, and maintenance of our credit risk rule engine for Loan Against Property (LAP) products.

- The ideal candidate will possess a strong understanding of credit risk principles, LAP product specifics and experience in setting up and managing rule engines within digital lending platforms.

- This role requires a blend of technical expertise, risk management knowledge, and project management skills to ensure the accurate and efficient automation of our credit risk decision-making processes.

Responsibilities:

Rule Engine Implementation & Configuration:.

- Lead the setup and configuration of the credit risk rule engine for LAP products, ensuring alignment with credit policies and regulatory requirements.

- Translate complex credit risk policies and business logic into executable rules within the rule engine platform.

- Collaborate with product managers, risk managers, and technology teams to define and document rule specifications.

Risk Policy Translation.

- Interpret and translate credit risk policies and procedures into rule engine logic.

- Ensure that the rule engine accurately reflects the company & risk appetite and lending strategies.

- Conduct thorough testing and validation of rule engine configurations to ensure accuracy and consistency.

Data Integration & Management.

- Work with data engineering teams to ensure seamless integration of data sources with the rule engine.

- Define and manage data mapping and transformation processes.

- Ensure data quality and integrity for rule engine operations.

Testing & Quality Assurance.

- Develop and execute comprehensive test plans for rule engine configurations.

- Identify and resolve defects and issues in rule engine implementations.

- Ensure the rule engine & performance, accuracy, and reliability.

Monitoring & Maintenance.

- Monitor rule engine performance and identify areas for optimization.

- Maintain and update rule engine configurations as needed to reflect changes in policies or regulations.

- Troubleshoot and resolve rule engine issues in a timely manner.