Credit Risk Analyst

Kapital Bank

423

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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