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Credit and Risk Management Specialist

2 months ago

Riyadh, Ar Riyāḑ, Saudi Arabia Career Maker Bahrain Full time
About the Role

Career Maker Bahrain is seeking a highly skilled Credit and Risk Officer to join our team. As a key member of our organization, you will be responsible for developing and implementing lending policies and procedures, creating credit risk frameworks, and modeling credit risk using advanced statistical techniques.

Key Responsibilities
  1. Develop and Implement Lending Policies: Initiate, develop, and implement appropriate lending policies and procedures to ensure the effective management of credit risk.
  2. Create Credit Risk Frameworks: Create the credit risk framework from scratch for retail loan portfolio, taking into account industry trends and regulatory requirements.
  3. Model Credit Risk: Model credit risk using advanced statistical techniques, including machine learning and AI, to develop PD models with skewed data.
  4. Manage Credit Risk: Monitor and manage the overall credit risk, ensuring that it is within acceptable limits and that credit standards are maintained.
  5. Lead Credit Analysis Function: Oversee and provide active management of the FLOOSS credit analysis function, ensuring that it is aligned with organizational goals and objectives.
  6. Ensure Credit Standards: Ensure maintenance of credit standards, including the development and implementation of credit policies and procedures.
  7. Assist in Allowance for Loan Losses: Assist in determining the adequacy of the allowance for loan losses, ensuring that it is sufficient to cover potential losses.
  8. Liaise with Examiners and Auditors: Act as the primary liaison to examiners, loan review, and external auditors, ensuring that organizational requirements are met.
  9. Build Sector/Industry Specialists: Build sector/industry-wise specialists to forecast economic climates, identify niche areas for credit growth, risk mitigation, etc.
  10. Maintain High-Quality Credit Portfolio: Maintain a high-quality credit portfolio in diversified sectors and customer segments along with commensurate risk-based returns.
  11. Lead Process Changes: Lead in bringing process changes for faster delivery and customer delight, ensuring that organizational goals and objectives are met.
  12. Work with Data Scientists: Work with data scientists on building new score models and customer profiles, ensuring that they are aligned with organizational goals and objectives.
  13. Build Collection Models: Build collection models and algorithms that identify customer paying patterns, ensuring that they are effective in managing credit risk.
  14. Build Credit Risk Models: Build credit risk models and experiments on machine learning and AI platforms, ensuring that they are aligned with organizational goals and objectives.
  15. Analyze Macroeconomic Impact: Analyze macroeconomic impact on the loan portfolio and customer behavior, ensuring that organizational requirements are met.
  16. Oversee Data Management: Oversee the collection, storage, management, quality, and protection of data, ensuring that it is aligned with organizational goals and objectives.
  17. Implement Data Privacy Policies: Implement data privacy policies and comply with data protection regulations, ensuring that organizational requirements are met.
  18. Support Senior Management: Support Senior Management with consumer risk reporting needs, ensuring that organizational goals and objectives are met.
  19. Ensure Effective Design: Ensure effective design and oversight of the consumer quality function, identify the scope and prioritize local quality control resources.
Requirements

To be successful in this role, you will need:

  1. Bachelor's Degree: Bachelor's degree in information systems or related field.
  2. Experience in Banking/Financial Sector: 5 - 10 years' experience in banking/financial sector with expertise in credit delivery/underwriting of Corporate, SME & Retail.
  3. Hands-on Experience in Credit Model Creation: Hands-on experience in credit model creation in ML.
  4. Experience in Credit Lending Organization: 5 to 10 years of experience in credit lending organization with expertise in model-based underwriting.
  5. Experience in Financial Services Sector: Experience working in a financial services sector with consumer loans and microloans.
  6. Machine Learning and AI System Experience: Machine learning and AI system hands-on experience.
  7. Hands-on Experience in R/Python, Advanced Excel: Hands-on experience in R/Python, Advanced Excel.
  8. Hands-on Experience in Data Extraction using SQL: Hands-on experience in data extraction using SQL.
  9. Knowledge of Reporting Procedures, Regulations, and Laws: Knowledge of a variety of reporting procedures, regulations, and laws.
  10. Planning and Time Management Skills: Planning and time management skills.
  11. Effective Communication and Human Relations Skills: Effective communication and human relations skills.
  12. Strong Analytical and Decision-Making Skills: Strong analytical and decision-making skills.
  13. Knowledge of Relevant Applications, Big Data Solutions, and Tools: Knowledge of relevant applications, big data solutions, and tools.