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Domain Tech Lead for Retail Banking Analytics

Amsterdam · Full-time · hybrid · Posted 20 Jun 2026

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01

What you will do

About this role

# Domain Tech Lead - Retail Banking Analytics

Within ING Analytics (INGA), we are seeking a Domain Tech Lead to join our Retail Banking Analytics (RBA) team in Amsterdam. You will be responsible for products and architecture in your domain, shaping ways of working and culture.

## Key Responsibilities

  • Co-create domain product roadmaps
  • Establish fast path to production
  • Steer vision on components and architecture
  • Ensure implementations follow best practices and align with ING's tech landscape
  • Build centralized domain knowledge
  • Strengthen domain culture
  • Mentor other engineers
  • Work end-to-end across functional and non-functional requirements
  • Collaborate with multiple teams including infrastructure to translate architecture into actionable designs

## Required Qualifications

  • Master's degree or equivalent practical experience
  • Strong communication, presentation, and stakeholder management skills
  • Strong understanding of machine learning project life cycles and data engineering
  • Experience designing complex IT landscapes including governance, standards, and methodology
  • Knowledge of software and data engineering best practices
  • Proven delivery and coordination skills (planning, reporting, dependency management)
  • Hands-on experience running machine learning engineering workloads in public cloud environments (preferably GCP)
  • Advanced Python skills with experience building data pipelines and applying model training/testing practices
  • Ability to work in semi-remote, globally distributed teams
  • Excellent problem-solving and analytical skills
  • Strong English communication and presentation skills

## Preferred Qualifications

  • Curious mindset with collaborative approach
  • Experience coaching and mentoring others
  • Experience in banking and/or financial sector
  • Customer-centric mindset
  • Understanding of market and technology trends

Skills & experience

LeadPythonMachine Learning EngineeringData EngineeringGCPData PipelinesModel TrainingFeature SelectionData Quality Validation
02

Where you will work

Location

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Address
Amsterdam · Noord-Holland1102 CTNo exact address
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