Bank Mandiri Taspen Jobs: Team Leader Credit Risk Approval | Team Leader Data Analytics
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Team Leader Credit Risk Approval
- Jakarta
The Credit Risk Approval Analyst is responsible for evaluating, assessing, and approving or declining credit requests, ensuring that the bank’s credit exposures are maintained within acceptable risk parameters. The role requires comprehensive credit analysis, risk assessment, and decision-making for various types of credit facilities. This position requires at least 4 years of experience in credit risk management, with a focus on assessing and mitigating credit risk across multiple sectors.
Job Description
- Conduct in-depth financial analysis on borrowers, including cash flow projections, balance sheet strength, and profitability.
- Evaluate the creditworthiness of applicants by reviewing credit histories, financial statements, and other risk factors.
- Monitor the performance of approved credit facilities to identify early warning signs of credit deterioration.
- Prepare periodic reports on credit risk exposure, delinquency trends, and portfolio performance.
Qualifications
- Bachelor’s degree in Finance, Accounting, Economics, or a related field.
- Minimum of 4 years of experience in credit risk assessment, analysis, or related roles in the banking or financial services sector.
- Strong understanding of credit risk principles, financial statement analysis, and risk mitigation strategies.
Team Leader Data Analytics
- Jakarta
We are seeking a highly skilled Banking Data Analyst with a minimum of 5 years of experience in financial data analysis. The ideal candidate will be responsible for analyzing complex banking datasets, identifying trends, and providing actionable insights to improve decision-making processes. You will collaborate closely with business stakeholders to streamline reporting and drive performance improvements through data-driven strategies.
Job Description
- Analyze large volumes of banking data to identify trends, patterns, and insights that drive strategic decision-making.
- Create and maintain dashboards and reports to track key performance indicators (KPIs) or business needs and financial metrics.
- Develop and implement financial models to forecast future performance and identify areas for improvement.
Qualifications
- Bachelor’s or Master’s degree in Data Science, Finance, Economics, Mathematics, Statistics, or a related field.
- Minimum of 5 years of experience in data analysis, preferably in the banking or financial services industry.
- Proficiency in data analysis tools such as SQL, Python, R, SAS, and advanced Excel. Familiarity with BI tools like Tableau, Power BI, or similar.
- Strong understanding of banking processes, financial statements, and regulatory frameworks.