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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
You will make the difference in Business Lending! As a Senior Risk Model Data Analyst within Tribe Business Lending, you play a central role in enabling data‑driven digital lending journeys across loan origination, in‑life management, and risk monitoring. You are responsible for analysing and shaping the data underpinning the (re)development and implementation of regulatory rating models, credit decision models, and in‑life management models. Operating at the intersection of credit risk modelling, data engineering, regulatory delivery, and business decisioning, you act as a subject‑matter authority on risk data, model inputs and outputs, and their translation into production, reporting, and regulatory use.
Acting as a key contributor to the implementation and change initiatives of regulatory rating models, credit decision models (used in the loan application journey) and in-life management models (e.g. early warning) used across Business Lending segments. Responsible for connecting the decision/risk rating topics to the business lending journeys, in close collaboration with the involved customer journey experts, Wholesale Bank and COO/Risk organization Challenging, reviewing and following up on the monitoring reports and findings from Model Development, Model Validation, CAS and ECB Representing Tribe Business Lending in the scoping board and in interactions with internal and external regulators Partnering with engineers, modellers, and IT to safeguard robustness of end‑to‑end data flows and architectures. Your day‑to‑day work focuses on delivering analyses and insights that steer the operational, commercial, and risk performance of Business Lending. In parallel, you drive initiatives to make lending journeys more data‑driven by designing, coordinating, and delivering high‑quality datasets for modelling purposes. You organise the ingestion of data into the data lake, act as a data steward, and proactively analyse and improve data quality.
Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, AI, Statistics or alike, and/or equivalent experience within data reporting, statistics and modeling. 3+ years experience as Data analyst. You are analytically strong and are a star in accessing and solving problems, making analyses, and sharing results with impact You have experience with querying languages (e.g., SQL, SAS) and dashboarding tooling (e.g. Cognos Analytics, PowerBI) Affinity or experience with Business Lending and Credit Risk Management To be able to influence and convince not only peers but also the stakeholders based on analytical results Communicatively strong, team player and someone who takes initiative and ownership You are fluent in English (verbal and written) and hold current residency in the Netherlands. Будет плюсом: Dutch is a pre
A salary tailored to your qualities and experience based on a 36 or 40 hour working week 25-28 vacation days depending on contract Pension scheme Benefits budget consisting of individual savings contribution (BIS), 13th month salary and holiday allowance Hybrid way of working to blend working from home for focus and working from office (Amsterdam) for collaboration and co-creation Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues