IRRBB Modelling Analyst – ALM Risk & Tools

ING Hubs Türkiye; Warszawa; On-site; PLN 68,000 - 140,000; Full time

Job summary

ING Hubs Türkiye in Warsaw is seeking a motivated quantitative modeller to join the Bank-wide Market and Operational Risk Models team. You will learn how models move from an analytical idea through development, testing, review and ultimately into use across the bank.

The role focuses on contributing to model design, coding and testing, participating in model submissions and internal reviews, and building analytical tools to better understand and manage financial risks within a global bank.

Qualifications

• An academic degree or being in the final year of a Master's programme in econometrics, quantitative finance, mathematics, physics, statistics, computer science, or a related quantitative field
• An interest in quantitative modelling in the banking industry
• Strong statistical, quantitative, and problem-solving skills
• Experience with or knowledge of Python or another programming language

Responsibilities

• You will work alongside experienced quantitative modellers and learn how models move from an analytical idea through development, testing, review, and ultimately into use across the bank.
• You will: contribute to model design, coding, and testing participate in model submissions and internal reviews build analytical tools to better understand and manage financial risks

Skills

Quantitative modelling

Python knowledge

Statistical skills

Problem solving

Education

Master's degree in econometrics or related field

Tools

Databases

Data modelling

Data quality control

Job description

ING Hubs Türkiye in Warsaw is seeking a motivated quantitative modeller to join the Bank-wide Market and Operational Risk Models team. You will learn how models move from an analytical idea through development, testing, review and ultimately into use across the bank.

The role focuses on contributing to model design, coding and testing, participating in model submissions and internal reviews, and building analytical tools to better understand and manage financial risks within a global bank.