Senior Risk Model Data Analyst, Business Lending (Hybrid)

ing; Amsterdam; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Pension scheme

13th month salary

Holiday allowance

BIS (benefits budget)

Job summary

ING is seeking a Senior Risk Model Data Analyst for Business Lending (BOOST) to drive data-driven decisioning across loan origination, in-life management, and risk monitoring. You will shape data inputs/outputs for regulatory models and production reporting within a cross-functional team.

You will partner with engineers, modellers, and business stakeholders to ensure robust end-to-end data flows, quality, and governance in a dynamic lending environment within the Netherlands.

Qualifications

• Master's degree or equivalent in a quantitative field.
• 3+ years experience as Data analyst.
• Fluency in English (verbal and written) and residency in the Netherlands.

Responsibilities

• Analyse and shape data underpinning regulatory rating models, credit decision models, and in-life management models.
• Connect decision/risk topics to Business Lending journeys in collaboration with stakeholders.
• Monitor and review reports and findings from Model Development, Validation, CAS and ECB.
• Represent Tribe Business Lending in scoping boards and regulator interactions.
• Collaborate with engineers, modellers, and IT to ensure robust data flows and architectures.

Skills

Data analysis

SQL

SAS

PowerBI

Cognos Analytics

English

Team player

Education

Master's degree in Mathematics, Econometrics, Computer Science, Information Management, AI, Statistics or alike

Tools

SQL

SAS

Cognos Analytics

PowerBI

Job description

ING is seeking a Senior Risk Model Data Analyst for Business Lending (BOOST) to drive data-driven decisioning across loan origination, in-life management, and risk monitoring. You will shape data inputs/outputs for regulatory models and production reporting within a cross-functional team.

You will partner with engineers, modellers, and business stakeholders to ensure robust end-to-end data flows, quality, and governance in a dynamic lending environment within the Netherlands.