Senior Risk Model Data Analyst - Credit & Regulatory

ING Nederland; Amsterdam; Híbrido; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Pension scheme

13th month salary

Holiday allowance

Resumo da oferta

ING Nederland is seeking a Senior Risk Model Data Analyst within Tribe Business Lending to shape data for regulatory rating models, credit decision models, and in-life management models across the loan lifecycle. You will partner with risk, data, and IT teams to ensure robust end-to-end data flows and high-quality datasets for modelling.

You will analyse data, support data ingestion into the data lake, act as a data steward, and help drive data-driven lending journeys in Amsterdam with a hybrid

Qualificações

• Master’s degree or equivalent experience in data reporting, statistics or modeling.
• 3+ years experience as a Data Analyst.
• Fluent in English (verbal and written) and able to reside in the Netherlands.

Responsabilidades

• Implement regulatory rating models, credit decision models and in-life management models.
• Collaborate with engineers, modellers and regulators to ensure robust end-to-end data flows.
• Deliver analyses and insights that steer risk and performance in Business Lending.
• Organise and deliver high-quality datasets for modelling and ingestion into the data lake.

Conhecimentos

SQL

SAS

PowerBI

Cognos Analytics

Data analysis

English proficiency

Formação académica

Master’s degree in Mathematics/Econometrics/CS/IM/AI/Statistics or equivalent

Ferramentas

Cognos Analytics

PowerBI

Descrição da oferta de emprego

ING Nederland is seeking a Senior Risk Model Data Analyst within Tribe Business Lending to shape data for regulatory rating models, credit decision models, and in-life management models across the loan lifecycle. You will partner with risk, data, and IT teams to ensure robust end-to-end data flows and high-quality datasets for modelling.

You will analyse data, support data ingestion into the data lake, act as a data steward, and help drive data-driven lending journeys in Amsterdam with a hybrid