Credit Risk Analytics Manager - Hybrid/Remote with Growth Impact

ING Türkiye; Fatih; Hybrid; TRY 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Welcome leave (14 days)

Learning platforms

Global opportunities

International mobility

Job summary

ING Türkiye is seeking a Credit Monitoring & Reporting Analytics Manager with deep credit risk expertise to interpret portfolio trends and drive action across stakeholders. You will monitor risk metrics, present reports for committees, and coordinate with finance, data, and technology teams.

The role requires 8–10 years in credit risk within banking, strong analytical and communication skills, and advanced proficiency in Python, SAS, SQL, and Power BI.

Qualifications

• Bachelor's degree in a relevant field.
• 8-10 years of experience in Credit Risk within banking.
• End-to-end credit lifecycle understanding.
• Strong analytical and problem-solving skills.
• Strong stakeholder management and communication.
• Advanced proficiency in Python, SAS, SQL, Power BI.
• Strong command of English.

Responsibilities

• Monitor credit risk metrics and analyse trends.
• Present periodic portfolio reports for committees and senior management.
• Coordinate with ING Group reporting requirements and stakeholders.
• Track credit risk appetite metrics and limit compliance.
• Manage IFRS 9 provisioning processes and forecasting.
• Lead data quality initiatives and remediation.
• Oversee the Credit Early Warning System (EWS) and enhancements.
• Coordinate customer classification processes (DoD/NPL,Forbearance,Watch List).
• Collaborate with Credit Risk, Underwriting, Restructuring, Finance, Data Management, and Technology teams.

Skills

Credit risk management

Analytical thinking

Stakeholder management

Communication skills

English proficiency

Education

Bachelor's degree

Tools

Python

SAS

SQL

Power BI

Job description

ING Türkiye is seeking a Credit Monitoring & Reporting Analytics Manager with deep credit risk expertise to interpret portfolio trends and drive action across stakeholders. You will monitor risk metrics, present reports for committees, and coordinate with finance, data, and technology teams.

The role requires 8–10 years in credit risk within banking, strong analytical and communication skills, and advanced proficiency in Python, SAS, SQL, and Power BI.