IRRBB Analytics & Insights Specialist

ING Nederland; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Pension scheme

13th month salary

Holiday pay 8%

Job summary

ING Nederland is seeking a Financial Risk Specialist – IRRBB Analytics & Insights to strengthen the second line analytics capability within the Banking Book Risk function. You will perform in-depth IRRBB analysis, build Python-based tools, and challenge first line proposals to support senior management decisions.

Ideal candidates have 2–5 years in IRRBB or related risk areas, strong Python skills, and experience presenting to senior stakeholders.

Qualifications

• Master's degree in finance, econometrics, mathematics, engineering, or related field.
• Strong Python programming skills and ability to build analytical tools.

Responsibilities

• IRRBB analytics and insights: analyze risk drivers and generate actionable insights.
• Tooling and data analytics: design Python-based tools for monitoring and scenario analysis.
• Second line challenge: review model calibration, hedging strategies, and stress testing approaches.
• Balance sheet and hedging analysis: assess hedging impact on IRRBB metrics and risk profile.
• Reporting and senior management: prepare materials for ALCO, risk committees and management.
• Collaboration and stakeholder management: work with Treasury, Risk, Modelling and local entities.

Skills

Python programming

Analytical mindset

Stakeholder communication

Data storytelling

Challenge stakeholders

Education

Master's degree in finance / econometrics / mathematics / engineering or related field

Tools

IRRBB models

Large datasets handling

Python tooling

Job description

ING Nederland is seeking a Financial Risk Specialist – IRRBB Analytics & Insights to strengthen the second line analytics capability within the Banking Book Risk function. You will perform in-depth IRRBB analysis, build Python-based tools, and challenge first line proposals to support senior management decisions.

Ideal candidates have 2–5 years in IRRBB or related risk areas, strong Python skills, and experience presenting to senior stakeholders.