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3 дня назад

Senior Risk Model Data Analyst – Business Lending (BOOST)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Risk Model Data Analyst – Business Lending (BOOST) (Credit Risk/Data Analytics): Analysing and shaping data for regulatory rating models, credit decision models, and in-life management models across business lending journeys with an accent on data quality, model monitoring, and regulatory delivery. Focus on designing modelling datasets, safeguarding end-to-end data flows, and translating analytical insights into operational, commercial, and risk decisions.

Location: Hybrid work with office collaboration in Amsterdam; current residency in the Netherlands required

Company

hirify.global supports data-driven digital lending services for business customers, from self-employed clients to mid-corporate and commercial real estate customers.

What you will do

  • Contribute to the implementation and change initiatives for regulatory rating, credit decision, and in-life management models.
  • Connect credit risk and decisioning topics to business lending customer journeys in collaboration with journey experts, Wholesale Bank, COO, and Risk.
  • Review and follow up on monitoring reports and findings from Model Development, Model Validation, CAS, and the ECB.
  • Represent Business Lending in scoping boards and interactions with internal and external regulators.
  • Design, coordinate, and deliver high-quality datasets for modelling and organise data ingestion into the data lake.
  • Act as a data steward, analyse data quality, and safeguard robust end-to-end data flows with engineers, modellers, and IT.

Requirements

  • Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, AI, Statistics, or a related field, or equivalent experience.
  • At least 3 years of experience as a data analyst.
  • Strong analytical, problem-solving, and data interpretation skills.
  • Experience with querying languages such as SQL or SAS and dashboarding tools such as Cognos Analytics or Power BI.
  • Affinity with or experience in Business Lending and Credit Risk Management.
  • Fluent English and current residency in the Netherlands are required.

Culture & Benefits

  • Agile work in a multidisciplinary team of 8–9 specialists.
  • Collaboration with Sales, Pricing, Operations, Credit Risk, Finance, IT, and data specialists.
  • Hybrid working that combines home-based focus time with office collaboration and co-creation in Amsterdam.
  • 25–28 vacation days depending on the contract and a pension scheme.
  • Benefits budget including an individual savings contribution, 13th-month salary, and holiday allowance.
  • Personal growth opportunities and an informal environment with innovative colleagues.

Hiring process

  • Submit a CV and motivation letter.
  • Multiple interview steps with various business stakeholders are part of the selection process.

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