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Karir

We are always searching for talented & creative individuals

Kualifikasi :

 

1. Minimal 5 tahun pengalaman di bidang yang sama

2. Memiliki pengalaman bekerja di lembaga keuangan atau bank

3. kemampuan komunikasi dan interpesonal yang baik

4. Memiliki pengetahuan terkait proses audit

5. Dapat segera bergabung

 

 

Job Deskripsi :

 

1. Menyiapkan dan membuat plan audit

2. Melaksanakan audit

3. Bertanggung jawab untuk membuat SOP internal audit dan mengurangi resiko bisnis dan finance keuangan melalui penerapan dan pemantauan monitoring yang efektif

4. Komunikasi temuan dengan yang memiliki kepentingan terkait

5. Dokumentasi audit

6. Supervise implementasi dari compliance dan regulasi perusahaan

7. Memastikan bisnis berjalan sejalan dengan SOP

 

Responsibilities:

1. Design, develop, and implement cutting-edge credit scoring models for individual borrowers.

2. Utilize statistical techniques, machine learning, and data analysis to enhance predictive accuracy.

3. Conduct in-depth analysis of credit data to identify trends and insights.

4. Collaborate with cross-functional teams to gather relevant data for model improvement.

5. Monitor model performance and recommend adjustments as needed.

6. Stay abreast of industry best practices and emerging trends in credit scoring.

7. Work closely with the Risk Management team to align credit scoring models with the company's risk tolerance.

8. Collaborate with IT and Data Engineering teams to ensure seamless integration of models into our lending platform.

9. Prepare comprehensive documentation for all credit scoring models, ensuring transparency and replicability.

10. Communicate model methodologies and results to both technical and non-technical stakeholders.

 

Qualifications :

1. Bachelor’s degree in Statistics, Mathematics, Data Science, or a related field.

2. Proven experience (5 years) in developing credit scoring models, preferably in a financial services environment.

3. proficient in statistical analysis tools and programming languages such as Python, R, or SAS.

4. Strong understanding of credit risk management principles and regulatory requirements.

5. Excellent communication skills with the ability to present complex concepts to diverse audiences.

 

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