(Senior) Consultant Financial Crime Technology

Use your AI and machine learning skills to combat financial crime. At Deloitte.

 

• advise clients on technology choices, translate model results into actionable recommendations and strong governance that can help in the fight against financial crime and controlling risks;
• together with the client design, build and put into production scalable data processing and machine learning pipelines that handle large transaction volumes at banks;
• apply machine learning and GenAI to accelerate tasks, for example pattern detection or feature engineering;
• monitor and optimize models in productions, including performance checks, feedback loops and model explainability;
• document and present model approach and outcomes to the client in an understandable and transparent manner;
• working in a team, you have a professional image, and you know how to find the right balance between listening to clients and asking critical questions;
• working in a fast growing team, with plenty of opportunities to develop yourself.

Qualifications

Naturally you effectively communicate your ideas and analysis and you collaborate with your colleagues. But most importantly, be the true you. The one and only you. With your personal strengths and unique personality. You need the following qualifications for the position of (Senior) Consultant Financial Crime Technology:

• between 3-6 years of relevant work experience in the Financial Crime domain, preferably in consultancy;
• completed a quantitively oriented master degree, such as AI, business analytics, mathematics, computer science, econometrics or a related field;
• experience with programming in SQL, Python or comparable programming language;
• excellent proficiency in Dutch and English; both verbally and written.

Additional Information

In your new role as (Senior) Consultant Financial Crime Technology you will be able to make a real difference on stopping financial crime, by using technology rather than manual checks. You will design and deploy scalable data-processing pipelines and machine learning models (including GenAI where relevant) that automatically process millions of bank transactions to detect suspicious patterns. Your work turns model insights into clear actions for clients, improving risk controls and stopping financial crime before it hits the business or society.