Senior Data Scientist

<p><b><span>We are looking for senior data scientist who is enthusiastic to contribute to our effort in fighting financial crime</span></b></p><p></p><p>As we continue our growth and establishing the added value analytics bring to our domains, we seek to a senior data science profile with the right potential to:</p><ul><li><span>Develop</span> an expertise in applying machine learning for outlier detection, representation learning, entity resolution, and network &amp; graph applications.</li><li><span>Adopt</span> best practices and quality standards for developing &amp; deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.</li><li><span>Be</span> an effective member of a model development &amp; implementation squad, challenge the status quo and build what matters.</li><li><span>Actively</span> 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.</li></ul><p></p><p><b><span>The team</span></b></p><p><span>In our tribe, we apply analytics &amp; AI solutions for the KYC, Fraud &amp; Cybersecurity domains and create advanced analytics applications and models. These models are used to 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 group 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.</span></p><p></p><p><b><span>Roles and responsibilities</span></b></p><p>As a senior data scientist in our team you will be at the forefront of creating advanced, scalable data-driven solutions to fight and detect financial crime.</p><ul><li>You have at least 6 years of (global) work experience in the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products</li><li>Experience in applying data science to prevent and detect financial crimes (e.g.  internal/external fraud, money laundering, terrorism financing, tax evasion, …) is a strong plus</li><li>You can explain complicated subjects clearly</li><li>You are friendly and approachable and are able to mentor junior data scientists</li><li>Your enthusiasm is visible and you are good with mobilizing people for our data driven purpose</li><li>You are motivated to keep on top of the latest developments</li><li>You have extensive knowledge of a wide range of machine learning algorithms, ranging from more classical econometric models to cutting-edge neural networks and are able to match them to business problems</li><li>You are able to see where ING can set further steps towards becoming a truly data driven bank. You’re always thinking one step ahead, for example in advising about the best way of implementation.</li><li>You are a team player who strikes effective balance between independence and acting in the interest of the team</li></ul><p></p><p><b><span>How to succeed</span></b></p><p><span>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.</span></p><p></p><ul><li>MSc or PhD with excellent academic results in the field of Computer Science, Mathematics, Engineering, Econometrics or similar.</li><li>Machine Learning: Classification, Regression, Clustering, Unsupervised methods, Text Mining. You have an excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc. Parametric and non-parametric statistics is a pre.</li><li>Programming Languages: Python and R. Scala is a pre-requisite</li><li>Tools: Spark, Hadoop.</li><li>Database handling: SQL, Hive. Familiarity with Oracle, Netezza, HBase, Cassandra, Graph databases is a pre.</li><li>Visualisation tools: D3.js, Shiny, Angular.</li></ul><p></p><p><b><span>Rewards and benefits</span></b></p><p><span>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 </span><a href="https://careers.ing.com/en/benefits-NL" rel="noopener noreferrer" target="_blank">Benefits in the Netherlands</a></p><p></p><p><span>The benefits of working with us at ING include:</span></p><ul><li> <span>A salary tailored to your qualities and experience </span></li><li><span>24-27 vacation days depending on contract</span></li><li><span>Pension scheme</span></li><li><span>13th month salary</span></li><li><span>Individual Savings Contribution (BIS), 3.5% of your gross annual salary</span></li><li><span>8% Holiday payment</span></li><li><span>Hybrid working to blend home working for focus and office wor