Ipotekabank OTP Group
Senior Data analyst (Risk Department)
Не указана
- Python
- SQL
- Power BI
- Бизнес-анализ
- Анализ требований
- Анализ данных
- Исследовательский анализ данных
- Визуализация данных
- Интерпретация данных
- Atlassian Confluence
- Английский язык
- Узбекский — B2 — Средне-продвинутый
- Английский — C1 — Продвинутый
- Русский — C1 — Продвинутый
- Key Responsibilities
- Participate in the design and development of data marts for the Risk Management Division, ensuring alignment with business requirements and analytical needs.
- Design and develop risk-related analytical models, including: Affordability / livelihood (income vs. expense) models, Risk monitoring models supporting portfolio quality tracking, Early warning and behavioral segmentation logic
- Perform advanced data analysis leveraging internal and external data sources: Integration and analysis of credit bureau data, Analysis of external service providers’ data, Customer-level insights combining behavioral, transactional, and risk indicators
- Build and maintain customer–employer–income analysis frameworks: Salary consistency and reliability checks, Employer stability analysis, Income trend and volatility monitoring
- Develop monitoring dashboards and analytical visualizations to support risk decision-making: Portfolio monitoring (vintage, delinquency, trends), Customer risk segmentation, KPI and early warning indicators
- Automate and continuously improve reporting and BI solutions: Enhance data pipelines and reporting performance (DWH / BI layer), Reduce manual effort through automation
- Work closely with cross-functional teams: Risk Management, Data Warehouse (DWH) teams, BI / Reporting teams, IT development teams
- Participate in data model design (logical & physical): Define fact/dimension structures,Ensure data consistency and reusability across analytical use cases, Handle ad hoc analytical and business requests, delivering accurate and timely insights.
- Key Focus Areas:
- Credit risk analytics
- Portfolio monitoring & reporting
- External data utilization (credit bureau, alternative data)
- Customer financial behaviour analysis