Analyst Financial Crime Technology

JobsCloseBy Editorial Insights

Join Deloitte Nederland as an Analyst Financial Crime Technology, a full-time onsite role in Amsterdam that blends data analysis, ML modeling, ETL pipelines, and GenAI to detect irregularities in large transaction streams for diverse clients. You’ll visualize results and translate insights into concrete risk recommendations while collaborating with managers and clients in a fast growing team. The ideal candidate holds a Master’s degree in AI analytics or a related field, a solid mix of statistics and IT, programming experience (SQL or Python), and fluency in Dutch and English. To apply, tailor your CV to show ML deployments, data pipelines, and client-facing impact, and highlight your learning mindset and authentic self.

Company Description

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

Job Description

• Execution of data analysis and development of (machine learning) models to detect irregularities in large transaction streams, in collaboration with our clients.
• Set up and manage reliable data processing pipelines (ETL) so data is processed efficiently and securely.
• Apply GenAI to speed up analyses, for example to support feature engineering.
• Visualize model results and translate them into concrete recommendations for clients on combating financial crime.
• Report to your manager, colleagues and clients.
• Work in a fast-growing team with plenty of opportunities for personal development.

Our team advises clients on preventing and detecting financial crime. Our Financial Crime Analysts use (machine learning) data models and GenAI to make this possible.

Qualifications

Naturally you want to discover and learn new things every day and you have the confidence to trust your own judgement. But most importantly, be the true you. The one and only you. With your personal strengths, view of the world and unique personality. You need the following qualifications for the position of Analyst Financial Crime Technology:

• A recently completed, quantitatively oriented Master’s degree, such as AI, business analytics, mathematics, computer science, econometrics or a related field.
• A good mix of statistical skills and an affinity with IT systems, financial crime and financial business processes.
• Experience with programming (knowledge of SQL or Python is an advantage).
• Excellent proficiency in Dutch and English; both verbally and written.

Additional Information

Do you want to help fight financial crime, but using cutting-edge technology instead of manual checks? As an Analyst Financial Crime Technology you develop and deploy data processing pipelines and (machine learning) data models that automatically analyze millions of bank transactions and flag irregularities. You make model insights understandable for our clients’ management, delivering direct impact on risk management and the prevention of financial crime.