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Senior Credit Risk Manager (Secured Lending)

Krom (Jakarta, Indonesia)
DKI Jakarta, Indonesia 🇮🇩
PT Krom Bank Indonesia Tbk, a subsidiary of Kredivo Group, is a licensed Indonesian bank, regulated and supervised by OJK (Indonesian banking regulator). With Krom, we're looking for new ways to make banking easier and more convenient for Indonesian millennials. We're excited to be a part of the digital transformation of the banking industry and we’re motivated by the vision of building Krom into the most preferred digital bank in Indonesia.

About this position

The Senior Credit Risk Manager oversees credit selection and assessment across conventional, digital, and other loan portfolios. This strategic role involves developing credit risk frameworks, contributing to the Bank’s overall growth strategies in terms of risk and reward analyses, and providing actionable risk management insights for new business partnerships and product launches. Success in this position ensures portfolio quality and sustainable growth through sound financial analysis, risk assessment, and regulatory compliance.

Responsibilities

Key Responsibilities
Credit Underwriting
Key Activities:
• Define and implement Risk Acceptance Criteria (RAC) and/or credit underwriting limit/criteria for all loan products—conventional, digital, and channelling.
• Conduct credit assessments to cover at least the 5C principles (Character, Capacity, Capital, Collateral, Conditions).
• Collaborate with product and analytics teams to refine credit scoring models for digital lending.
• Regularly evaluate restructuring applications to mitigate potential risks.
Deliverables:
• Documented RAC policies that align with the bank’s risk appetite and business goals.
• Comprehensive creditworthiness reports, including customer credit ratings and financial health assessments.
• Updated and optimised credit scoring models, validated for accuracy and efficacy.
• Recommendations on restructuring proposals with quantified risk impacts.

Risk Assessment to Support Growth Strategies
Key Activities:
• Evaluate and assess the risk-reward profile of loan partnerships, including syndication and execution of credit facilities in a form of risk management opinions.
• Collaborate with business development and credit teams to align loan partnerships with the bank’s risk limits and overall appetite.
• Provide strategic guidance on pricing, structuring, and terms of loan deals to optimise risk-adjusted returns as well as working with Credit Risk Analysts to set up loss rates monitoring and early warning systems.
Deliverables:
• Comprehensive risk assessment reports for loan partnerships, detailing risk exposure, expected returns, and alignment with the bank’s strategic goals.
• Recommendations for structuring syndicated loans or other partnership-based credit facilities to maximise portfolio quality.
• Regular presentations to the Risk Management Committees on Key Risk Indicators (KRIs) relating to credit risk and portfolio exposures.

Credit Risk Modelling
Key Activities:
• Develop and refine models such as PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) for precision risk assessments.
• Leverage data analytics to predict and mitigate risk exposures.
Deliverables:
• Fully validated credit risk models tailored to digital and channelling loans.
• Periodic model performance reviews and recalibrations, with clear documentation.

Regulatory Compliance and Engagement
Key Activities:
• Engage regularly with regulatory bodies, particularly OJK, to maintain compliance with standards.
• Stay updated on regulatory changes and their implications for credit risk management.
• Prepare for regulatory audits and inspections with comprehensive documentation

Requirements

• Proven experience in credit risk management, particularly in secured lending.
• Strong analytical skills with a focus on financial analysis and risk assessment.
• Excellent communication and collaboration skills to work with cross-functional teams.
• In-depth knowledge of regulatory requirements and compliance standards.
• Proficiency in credit risk modelling and data analytics.