Policy Manager - Mortgage - Bank

Policy Manager - Mortgage - Leading Bank - Mumbai

- Should have prior experience Prime Home Loan OR Prime LAP and has exposure in handling portfolios and policy framing for Metros or Tier 1 locations (Target segment is from Banks, Good NBFC) of min 5 Years

- Formulation & implementation of credit policy framework for Housing Loan product within regulatory guidance & risk appetite of the bank.

- Tracking portfolio triggers, risk appetite level, NPA/write off trends, quality of static asset pool. Identify good/ bad segments, establish credit monitoring mechanisms to track the performance of the credit portfolio and proactively identify potential areas of concern.

- Ensuring adherence to credit Policy and guidance/ clarifications on policy parameters to stakeholders.

- Ensuring process & underwriting efficiencies through tech initiatives/digitalization.

- Ensure adherence to internal systems, controls & processes to ensure efficiency, risk management, operational risk management and compliance.

- Peer interaction and stakeholder engagement across locations product innovation through localized & segment specific norms, gather intelligence on competition products and processes and market landscape and utilize the same to enhance the credit policy framework and risk mitigation strategies.

- Support system changes to improve quality of data and ease of processes.

- Periodical health councils, management reviews, stakeholder reviews, monthly risk update/risk newsletters, stakeholder reviews.

- Ensuring adherence to Internal audit/RCSA/regulatory/compliance observations for process/policy improvement.

- Preparation of monthly newsletters and MIS and Present portfolio to senior management on a periodical basis.

- Should have knowledge and experience of handling structured transactions viz. LRD and should have knowhow of products like LAP OD etc.

- Data analysis & Automation: Utilize the data analytics to gain insights into credit trends, customer behavior, and portfolio performance and use this information to optimize credit policy decisions. Collaborating with the Data science & Tech team for increasing the extent of automation and system decisioning to maximize the coverage of transactions through system. Developing, deploying, maintaining and updating scorecards / policy rules (BREs) in system. Ensure successful UAT is conducted for all BREs coded in the system.

- Collateral Analysis and Monitoring: Identification of monitoring of risks related to collateral including PDD checks, title search, pricing valuation changes, recoverability etc.

- Regulatory Compliance: Stay up to date with the latest regulatory guidelines and ensure the credit policy adheres to all the relevant legal and regulatory requirements set forth by the relevant authorities.