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Senior Machine Learning Scientist, FinCrime
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Accountabilities:
- Design, build, and deploy machine learning models to identify and prevent fraud across fintech and risk use cases.
- Drive a data-first culture by promoting analytical thinking and data-driven decision-making.
- Develop, monitor, and optimize performance metrics for risk strategies.
Requirements:
- 7+ years of experience in data science, quantitative modeling, or analytics, ideally in fraud prevention or fintech.
- Strong hands-on expertise in Python and/or R, along with advanced SQL skills for large-scale data analysis.
- Experience with machine learning model development, deployment, and performance monitoring.
Benefits:
- Competitive compensation including cash and equity participation.
- Remote-first environment with flexible paid time off and home office setup allowance.
- Annual health and wellness budget, learning stipend, and inclusive culture.
Jobgether
Our partner is a fast-growing, remote-first company at the forefront of fraud prevention and financial risk intelligence. They offer a high-growth international environment with world-class professionals and a supportive culture.