Job Description

Compliance is about monitoring, challenging and advising the organisation of adhering to (unwritten) rules and the moral compass (preventing ‘legal but harmful’ situations). So, at the first glance this looks like a purely qualitative domain, but as the importance of data is undeniable throughout the Bank and hence also for the Compliance domain. The data analytics team (7 colleagues) play a crucial role to increase the effectiveness and efficiency of Compliance by using data and applying knowledge of data and analytics. All this together with Compliance Experts and other data analysts & scientists in the wider risk community.

In this role, you will analyze data to draw insights, patterns and conclusions that will enable the business to improve their products, services, processes or to develop new strategies. You are adept at handling large, complex datasets and developing and applying robust analytical processes including data cleaning, data interpretation models, forecasting, pattern identification, and trend analysis. You will also study product and process-related data, as well as environmental conditions in which the firm operates, competitor behaviour, or other data sources. You bring extensive knowledge of tools and methods including statistics, artificial intelligence, and machine learning.

The Team

Integrated Compliance NL (IC) team is part of the Compliance NL department. The team plays a critical role in providing stakeholders a transparent and timely view of Compliance risks and valuable insights to support strategic decision making to be compliant by desire and design. Furthermore, IC fosters a data culture to make the Compliance department truly data driven.

The Senior Data Scientist Integrated Compliance reports hierarchically to the Expert Lead Integrated Compliance located in Amsterdam.

Roles and responsibilities

• Support the Expert Lead Integrated Compliance with coordination and planning of the data analytics team

• Enhance and support with implementation of the Compliance Data Strategy incl. productization of Compliance processes and activities

• Build and maintain machine learning models in the Compliance domain

• Develop and maintain GenAI applications in the Compliance domain

• Perform statistical data analysis for monitoring, challenging and advising purposes

• Review and challenge data deliverables of the organisation (scripts, dashboards, outcomes of statistical data analysis)

• Advise colleagues in the field of statistical data analyses or modelling

• Create and maintain automation flows and dashboards

• Develop training material and train colleagues on data driven Compliance

• Coach and support team members to achieve common goals while motivating and helping others to succeed

• Share best practices and lessons learned for continuous feedback loop to improve data driven Compliance

How to succeed

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

We are looking for the following knowledge and experience:

• University degree or equivalent

• More than 6 years+ of working experience in performing statistical data analyses

• Experience with SQL, Python, SAS, automation and machine learning methodologies

• Affinity with risk management or compliance, preferably in the banking or other financial sector

• An excellent level of English and Dutch (verbal and written)

• You are an energetic, motivating person who can work in a multidisciplinary setting

• You work independently, think and act out of the box and take accountability

• You have good communication skills and know how to make your results understandable for the compliance experts and senior management

• You establish and maintain strong (sustainable) relationships with key stakeholders (in- and outside Compliance at local and global level), focused on a clear understanding of their challenges and opportunities. Navigate distractions and politics to deliver on objectives effectively for the content area.

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.

The benefits of working with us at ING include:

• 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

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Questions?

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