ING is looking for experienced hires to help build on our Global Analytics ambition
Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing business challenges, please read on.
We are incredibly excited about Data Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing anytime, anywhere, personalized services to our customers. We wish to improve our operational processes and create new and innovative data driven products that go beyond traditional banking, such as the platform models. Achieving this vision will require us to build and expand on our analytics effort and organize ourselves around focused value buckets with strong coordination capabilities of data, technology, customer journey, UX, as well as external partnerships.
You will be part of the ING Analytics, a new unit 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 Center of Excellences around the banks key capabilities (such as Pricing, Risk Management, Financial Crime&RegTech, Customer Intelligence, etc.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
Financial Crime & RegTech CoE
To be a compliant and safe bank is non-negotiable precondition of everything we do.
The purpose of the Financial Crime and RegTech center of excellence is to define the strategy and drive the development, implementation and adoption of analytics capabilities in the financial crime domain to make ING a safer and more compliant bank.
As a Chapter Lead you will play a key role in driving the success of Data Science within the Financial Crime & RegTech domain from ideation to the delivery of data driven products and solutions.
You will be involved in all data science projects and be responsible for maintaining a very high quality standard. For 40% of your time you will have hands-on involvement in our most challenging data scientist projects. Next to the hands on project related work you will be responsible for the data scientists in your chapter from coaching and professional development to hiring and staffing.
Furthermore, you will be responsible for promoting data science excellence within the organization. You will collaborate with engineers to bring advanced models to production, and you will work closely with international business units to identify opportunities for data science.
You will work collaboratively with an extended group of stakeholders, including but not limited to Operations, Compliance, Engineering, Legal, Corporate Audit.
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
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
You have a proven track record of developing people and knowledge through coaching or mentoring
You have experience and love leading teams to drive results and interact with (senior level) stakeholders
You are able to explain complicated subjects clearly
You are friendly and approachable and are able to challenge data scientists
Your enthusiasm is visible and you are good with mobilizing people for our data driven purpose
You are motivated to keep up to date with the latest developments and to introduce them to the team and projects where applicable
You have extensive knowledge of a wide range of machine learning algorithms, ranging from more classical econometric models to more cutting-edge algorithms and are able to match them to business problems
You are able to see where ING can create steps towards becoming a truly data driven bank. Youre always thinking one step ahead, for example in advising about the best way of implementation.
You are a team player who strikes effective balance between independence and acting in the interest of the team
MSc or PhD with excellent academic results in the field of Computer Science, Mathematics, Engineering, Econometrics or similar.
Machine Learning: You have an excellent understanding of both supervised and unsupervised learning algorithms (such as Random Forests, Gradient Boosting, Deep Neural Networks, Logistic Regression, SVM, KNN, K-Means clustering, Isolation forests etc ). Knowledge of NLP techniques is an advantage.
Programming Languages: Python and R
Tools: Spark, Hadoop is an advantage
Database handling: SQL, Hive. Familiarity with Oracle, Netezza, HBase, Cassandra, Graph databases is preferred
Visualisation tools: D3.js, Shiny, Angular, Neo4j
Are you keen to know more or apply?
For further inquiries, please contact Stanley Waccary at Stanley.Waccary@ing.com.