Bakı, Mərkəz filialı, Azərbaycan, Bakı şəhəri
Kredit mütəxəssisi
Razılaşma ilə
Tam-ştat
21 aprel 2025
31 may 2025
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.
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.
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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