Deskripsi Pekerjaan
Are you an analytical professional looking to advance your career with a forward-thinking financial institution? Bank Amar Indonesia is currently seeking a meticulous and experienced Credit Reviewer for our Commercial & Corporate division in Jakarta Selatan. In this pivotal role, you will be responsible for evaluating credit risk for Small and Medium Enterprise (SME) applications, ensuring the integrity of our lending portfolio while supporting sustainable business growth.
At Bank Amar, we value innovation and efficiency. As part of our team, you will enjoy a professional environment that prioritizes career growth, flexible work arrangements, and competitive compensation packages including performance-based bonuses. If you possess a keen eye for financial detail and a passion for assessing corporate creditworthiness, we invite you to join us in shaping the future of digital banking in Indonesia.
Tanggung Jawab
- Evaluate and analyze complex commercial and corporate credit applications to determine financial viability and risk exposure.
- Conduct thorough due diligence on financial statements, cash flow projections, and credit history of SME clients.
- Prepare comprehensive credit risk reports and recommendations for the approval committee.
- Monitor the performance of existing credit portfolios and identify early warning signs of credit deterioration.
- Collaborate with relationship managers to structure credit facilities that align with the bank's risk appetite.
- Ensure compliance with internal credit policies, regulatory requirements, and local banking laws.
- Participate in ongoing process improvements to enhance credit assessment efficiency and turnaround time.
Kualifikasi
- Bachelor’s degree in Finance, Accounting, Economics, or a related field.
- Minimum 3-5 years of experience in credit analysis, credit risk management, or commercial lending.
- Strong understanding of financial statement analysis and corporate finance principles.
- Ability to interpret complex credit data and provide data-driven risk recommendations.
- Proficiency in using banking software and credit scoring models.
- Excellent communication and interpersonal skills to work effectively across departments.
- Fluency in both Indonesian and English is highly preferred.