Senior Manager AML Data Scientist

Location: Hybrid in Amsterdam or Utrecht, The Netherlands

Company

hirify.global is a financial consulting firm focused on Treasury, Risk and Technology, developing quantitative models for financial risk management, financial crime prevention, and sustainable strategy.

What you will do

• Develop models for Transaction Monitoring, Customer Due Diligence, sanctions screening, and fraud detection.
• Run one or more quantitative projects simultaneously across the full modelling lifecycle, from solution design to implementation in client cloud infrastructure.
• Translate clients’ strategic needs into practical modelling solutions.
• Manage projects and contribute to project origination, staff mentoring, recruitment, and quality assurance.
• Partner with clients and consultants to solve complex financial crime and risk modelling problems.

Requirements

• PhD or Master’s degree in mathematics, physics, econometrics, computer science, or engineering.
• 6+ years of experience running quantitative projects, preferably in banking and/or consulting.
• Experience developing machine learning models.
• Advanced programming skills in Python, PySpark, and Spark.
• High creativity and adaptability.
• Commercial sense and excellent stakeholder management skills.
• Strong communication, storylining, and presentation skills.

Culture & Benefits

• Hybrid work environment supporting work-life balance.
• Home-office setup and internet allowances, plus a mobility budget.
• Bonus scheme, pension scheme, 29 paid holiday days, laptop, and iPhone.
• Entrepreneurial, inclusive, and collaborative culture with opportunities for personal development and initiative.
• International working environment with exposure to diverse clients and consultants across Treasury, Risk, and Technology.
• Pre-employment screening by a third party is part of the application process.

Hiring process

• Applications involve approval for hirify.global to use and retain personal details.
• A third-party Pre-Employment Screening is required as part of the application process.
• Applicants are expected to meet high moral standards.