Analyst Financial Crime Technology
Deloitte Netherlands Open At a glance
Mid-level Risk & Financial Compliance role at Deloitte Netherlands. Amsterdam · full-time.
Pay not stated Risk & Financial Compliance salary
financeroles summary, based on the employer's posting.
What you'll do
- Analyze large transaction streams and build machine-learning models that flag irregularities for clients
- Set up and run secure, efficient ETL pipelines to process data for analysis
- Use GenAI to accelerate analytical work, including feature engineering
- Visualize model findings and turn them into practical recommendations for clients
- Explain model insights to client management and report your work to managers and colleagues
What you bring
- You recently completed a quantitatively focused master’s degree, such as AI, mathematics or another listed field
- You combine statistical ability with an interest in IT systems, financial crime and financial processes
- You communicate fluently in Dutch and English, in writing and conversation
Who this fits
This role suits someone who wants to apply data analysis, machine learning and GenAI to financial crime detection. You’ll work with clients and report to your manager and colleagues. The role is based onsite in Amsterdam.
From the employer
Use your AI and machine learning skills to combat financial crime. At Deloitte.
- 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.
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.
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.
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