Data Scientist Information Security

At a glance

We are on a mission to use data science to make cyber security data driven. At ABN AMRO we have vast amounts of data that can be used to make the bank, its customers and employees more secure. Fraud detection on payments and network monitoring are obvious areas where you can help. Access control, identity management and security governance are domains that can also be made more secure by becoming data driven. With your great team spirit, creative mindset and knowledge of data you are able to deliver the data driven solutions of tomorrow. Are you able to deep dive into the data and get insights out? Come join us!

Your job

As a machine learning engineer in the Corporate Information Security Office (CISO), your work will make the customers and employees of the bank more secure. You identify (security) problems to solve and find opportunities where you can add value. Generate insight from the data and come up with novel (machine learning) solutions is something you excel at. You will be working closely with our internal process owners and set up research with them. Designing and creating prototypes and driving implementations.

Typical activities include:

• Identify problems and opportunities that can be solved with data (science). Determine the security business value. How much will a solution contribute in solving the security problem?
• Understand data. Import, explore, and visualise (EDA) it. Create features from this data together with the security process owners.
• Use state of the art data science techniques e.g. to train and develop predictive models,
• Assess the performance and value of your models and communicate this at the right level to your customers.
• Help implement your data products in the various prototyping and production environments.
• Collaborate with internal and external partners on security research and innovation that goes beyond normal data science activities.
• Educate: explain/train data science to stakeholders to enhance cooperation.

Working environment

You will be working for Technology & Engineering (T&E). Our role is to be the central hub for security related advice and to provide security services to the rest of CISO and the bank. We have about 100 employees with different and diverse backgrounds. We are part of CISO that has over 440 employees that work on all aspects of cyber security of the bank. CISO has adopted an agile way of working where we take on challenges as a team, regardless of hierarchy. We want to be the driving force for security of the bank, our customers and society. Banking for better, for generations to come.

Your profile

You have a quantitative MSc, PhD or similar and a minimum of three years of work experience as a machine learning engineer/data scientist (next to any internships). You are creative team player and you are not afraid to give and ask for help and feedback.

You have many of the following typical data science skills:

• Machine Learning algorithms (such as Scikit-learn, Tensorflow, Keras, PyTorch), Programming: Python and SQL
• Statistics, experiment design, mathematics.
• Data Wrangling, ETL, Big Data systems (e.g. Hadoop, Spark)
• Data engineering / ML engineering. Implement advanced analytics robustly in various target (cloud) systems. Experience with databases (Postgress / Splunk), containerizing (Docker, Kubernetes), Cloud tools (Azure Databricks and Azure Data Lake Storage) is preferred.
• Communication and Data Visualization: Knowing Your Audience
• Consultancy skills: keen, finding the ‘real’ problem that needs to be solved. Relentless but friendly, following processes.

And it would be great if you have some typical domain knowledge too like:

• Internet technology: networks, web applications, http, json, xml;
• Information security: identity and access, cybercrime, cyber security;
• Banking or financial sector;
• Agile-scrum way of working.

We are offering

Apart from a fantastic job working in a great team we are also offering:

• An open, innovative and stimulating department where you can grow as a machine learning engineer;
• A way to contribute to a safer world as a financial crime fighter;
• The opportunity to be the best you can be, work flexible hours and lots of room to grow both personally and professionally;
• The opportunity to pro-actively work on your vitality and fitness;
• A supplementary benefit budget of 11%, which you can spend on additional fringe benefits;
• A personal development budget of EUR 1.000 per year;
• A department budget for relevant trainings and visiting great (virtual) conferences to expand views on data science in the field of security;
• An annual public transportation pass;
• A solid pension plan;
• Home working allowance of EUR 3 for each day you work from home, internet allowance of EUR 25 per month and all the tools you need to work from home as you would in the office.
• Equal opportunities for everyone, regardless of your background.