Financial Crime Technology Analyst

This job in a nutshell: Use your AI and machine learning skills to combat financial crime. At Deloitte. Benefits: You’ll receive a profit-sharing bonus, on top of your fixed salary. Continuous professional growth. Join our development program. A work-from-home office setup allowance to make sure you have everything you need for an ergonomically designed workstation and internet allowance. Work part-time (32 hours a week) or full-time (40 hours a week). Flexible and hybrid working, in accordance with team and client commitments. 26 days of paid annual leave, and the opportunity to purchase additional leave. A good mobility scheme: the choice of various options such as a lease car, travel by public transport, a cash option or a combination of these. A laptop and iPhone. The iPhone can also be used for personal purposes. A time for time arrangement that creates flexibility for personal moments that matter. A good pension scheme with a personal contribution of only 2%. An opportunity to take part in our collective health insurance scheme. An opportunity to benefit from tax-efficient facilities such as company fitness, a bicycle scheme or the opportunity to lease a bicycle. The opportunity to use 55 hours of babysitting service per calendar year if your child is 12 years old or younger. A flexible budget, which you can use to make choices in flexible benefits, for example purchasing extra leave days or financing a bicycle plan. Various leave options tailored to meet your individual needs, from parental leave (also for rainbow families) to the flexibility of exchanging three national holidays for non-national holidays. 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. What impact will you make?: 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. How do you do this?: 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.