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Domain Tech Lead for Retail Banking Analytics

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Job Description - Domain Tech Lead for Retail Banking Analytics

This role was originally published on 28 May 2026.

Within ING, ING Analytics (INGA) is a key driver of the bank’s digital transformation. By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING become a data-driven leader. INGA delivers, among other things, credit risk models, call and speech analytics, generative AI for risk summarisation, portfolio performance insights, and data analytics platforms (cloud and on premises). 

 

The Domain 

Retail Banking Analytics (RBA) drives advanced data and analytics capabilities across Retail markets. Our use cases span three main areas: consumer lending, business banking and personalisation. Each area includes a broad set of products—for example, campaign recommender engines, mobile customer churn solutions, and mortgage and lending pricing. In the coming years, RBA aims to significantly expand its offerings and scale the team. To support this growth, we need to evolve the engineering landscape to handle increasing demand. 

 

Roles and Responsibilities 

We are looking for a Domain Tech Lead to join us in Amsterdam. In this role, you are responsible for the products and architecture in your domain, and for shaping the way of working and culture. You co-create the domain product roadmaps, help establish a fast path to production, steer the vision on components and architecture, and ensure implementations follow best practices and align with ING’s tech landscape. You also build centralised domain knowledge, strengthen domain culture, and mentor other engineers. 

 

How to succeed 

  • Master’s degree or equivalent practical experience. 

  • Strong communication, presentation, and stakeholder management skills; comfortable working in a semi-remote, globally distributed team. 

  • 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); able to identify risks and drive improvements across teams. 

  • Able to work end-to-end across functional and non-functional requirements, collaborating with multiple teams (including infrastructure) to translate architecture into actionable designs and guide implementation choices. 

  • Hands-on experience running machine learning engineering (MLE) workloads in public cloud environments (preferably GCP). 

  • Advanced Python skills, with experience building data pipelines and applying model training/testing practices (e.g., feature selection and data quality validation). 

Preferred Qualifications 

  • Curious mindset; collaborative and passionate about helping others grow. 

  • Experience coaching and mentoring others. 

  • Experience in the banking and/or financial sector is a plus. 

  • Customer-centric mindset and ability to balance strategic planning with hands-on execution. 

  • Ability to translate business requirements into solutions and roadmaps. 

  • Good understanding of market and technology trends; able to propose structural improvements towards target solutions. 

As an IT Integrator you will need 

  • Excellent problem-solving skills to find creative ways to drive progress and remove impediments. 

  • Strong analytical skills for aligning end-to-end solutions. 

  • Ability to translate highly complex situations into digestible insights for stakeholders. 

  • Ability to switch easily between details and a high-level overview. 

  • Team-player mindset with a “make it happen” mentality; eager to learn and able to coach others. 

  • Strong communication skills (English) and strong presentation skills across different seniority levels. 

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious, keep learning, and take responsibility. In return, we’ll support you in developing an even stronger version of yourself. 

 

 

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions: https://www.ing.jobs/netherlands/Why-ING/benefits.htm

The benefits of working with us at ING include:

  • Fun!

  • 25–28 vacation days depending on contract

  • Pension scheme

  • 13th month salary

  • 8% Holiday payment

  • Hybrid working

  • Personal growth and challenging work with endless possibilities

  • An informal working environment with innovative colleagues

About us

Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you: https://www.ing.jobs/netherlands/Why-ING.htm

Questions?

Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.

Please note, multiple interview steps involving various business stakeholders will be part of the selection process.

Original job Domain Tech Lead for Retail Banking Analytics posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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