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Credit Risk Analyst

  • Kateqoriya: Maliyyə
  • Şəhər: Bakı
  • İş təcrübəsi: 1 ildən az
  • Maaş: Müsahibə əsasında
  • İş rejimi: Tam-ştat
  • Elan ID: 12800
  • Elanın yerləşdirmə tarixi: 21.04.2025
  • Elanın bitmə tarixi: 21.05.2025

Namizədə tələblər

  • Bachelor's degree in business, Finance, Economics, or a related field
  • Minimum of 3 years of experience in retail banking or a related industry
  • Strong analytical skills and experience in data analysis, modeling, and forecasting
  • Proficiency of Oracle SQL, Python, and Tableau
  • Fluency in Azerbaijani and English (knowledge of additional foreign languages is an advantage)
  • International risk and finance certifications such as CERM, FRM, CFA, etc., are preferred
  • Strong interpersonal and communication abilities
  • We value our customers and are attentive to their needs, habits, and expectations
  • Multicultural environment: We appreciate the opinions and experiences of our foreign colleagues. We believe in openness, inclusiveness, and the opportunity to hold different points of view
  • Competitive salary, health insurance, and an annual performance bonus
  • Growth opportunities: We invest in the professional development of our employees and offer clear career paths, personal development plans, and a wide range of online courses and training programs
  • Flexible working format: We offer a convenient combination of remote and office work
  • Comfortable and attractive office: We provide a pleasant and exciting workplace
  • Informal dress code: Dress comfortably and express your style
İş haqqında məlumat

The ideal Credit Risk Analyst should have strong technical skills, including proficiency in SQL, Python, and Tableau. Analytical abilities such as statistical data analysis, credit risk evaluation, and data-driven decision-making are essential.

 

  • Participating in the development and enhancement of a regulatory framework for identifying, assessing, mitigating, and effectively managing credit risks
  • Evaluating credit risks to ensure they remain within acceptable limits before launching new products
  • Improving reporting systems (e.g., red flag, scoring, stop loss)
  • Utilizing risk management tools (e.g., vintage analysis, migration matrix, FPD) for portfolio analysis
  • Applying statistical analysis, financial modeling, and data analytics to measure and forecast credit risks
  • Providing recommendations on credit limits and conditions
  • Participating in the calculation of provisions in compliance with International Financial Reporting Standards (IFRS) and Central Bank regulations
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