Job description

The team

ING Analytics is responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX and external partnerships.

Roles And Responsibilities

You will be part of the COO Analytics Tribe. In our tribe, we apply advanced analytics & Gen AI solutions for the Financial Crime domain globally. Traditional ML models and Gen AI solutions are used to detect, mitigate and to effectively tackle the risk of financial crime for our customers and our society, making us a safer and more compliant bank. Our tribe consists of more than two dozen data scientists, engineers, data analysts, and customer journey experts, working together to deliver innovative solutions in our domain across multiple countries.

Specifically, you will help creating innovative and scalable solutions in the areas of Know Your Customer and Customer Due Diligence. You will work collaboratively with a broad group of stakeholders, including global and local KYC units to define and develop the solutions and consequently you will work with technical teams to implement these solutions across the organization.

We work in a fun and creative environment, and we’re dedicated to bringing out the best in both our relations and our projects, ranging from traditional machine learning algorithms to detect suspicious behaviors to enhance our processes by applying innovative techniques such as Generative AI and Large Language Models to building solutions across all countries ING operates in.

Your Focus Areas Will Be

  • Design and implementation of solutions using Generative AI and LLM technologies
  • Working with our engineering team to productionize your solution
  • Using the cutting-edge frameworks and technologies such as generative AI and Large Language Models
  • Following best practices in developing ML code and ML software tests
  • Keeping pace with the evolution and best practices in the GenAI and NL domain
  • Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
  • Contributing to strengthening the analytical capability within the team.
  • Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer

How To Succeed

  • Always thinking a step ahead and never satisfied with the status quo
  • Enthusiasm for helping others to be successful and a talent for taking it on and making it happen
  • You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
  • You embrace challenges in a fast-changing and complex environment
  • You are a naturally collaborative person who listens and invests in others to achieve common goals
  • You have a Pro-active and can-do attitude (self-steering)
  • You take pride in your code and take responsibility for keeping it running in production
  • You combine both thinking of the future and a hands-on, right now attitude
  • You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged.
  • MSc or PhD in Computer Science or similar domain, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
  • A minimum of 3 years experience in building Natural Language Processing or Information Retrieval pipelines and models
  • Experience with operationalisation of LLMs or Generative AI applications
  • You have an in-depth understanding of algorithms like Conditional Random Fields, Transformers, Recurrent Neural Networks, and Convolutional Neural Network
  • Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding
  • Can build an “end-to-end ML software product” which has NLP/IR component
  • Experience with Deep Learning frameworks like Tensorflow and PyTorch
  • You have excellent oral and written communication skills at the technical and business level
  • Fluent in written and spoken English.
  • Familiarity with Agile Scrum way of working

Nice To Have

  • Experience with Google Cloud Platform
  • Experience with applying NLP in banking domain
  • Knowledge of DevOps practices including Git and CI/CD
  • Experience with CI/CD for Machine Learning pipeline (CD4ML).
  • Experience with traditional ML algorithms is a plus

Who should apply?

At ING, we promote diversity not just because it is the right thing to do, but because it ’ s essential for delivering on our strategy. In order to stay a step ahead we need teams with a healthy mix of contrasting perspectives and backgrounds as they are more creative, faster to adapt and more inventive with their solutions. We strive to hire a workforce as diverse as the communities in which we operate, and we will consider every application, regardless of race, religion, color, national origin, sex, disability or age.

Rewards & Benefits

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. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm

The Benefits Of Working With Us At ING Include

  • A salary tailored to your qualities and experience
  • 24-27 vacation days depending on contract
  • Pension scheme
  • 13th month salary
  • Individual Savings Contribution (BIS), 3.5% of your gross annual salary
  • 8% Holiday payment
  • Personal growth and challenging work with endless possibilities
  • An informal working environment with innovative colleagues
  • Work Agile, so new ideas come to life faster

About Us

With 57,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.

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