Nathan Austin
Nls Investigation Analyst, Aml, Afc @Deutsche Bank
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WORK HISTORY
Nls Investigation Analyst, Aml, Afc @Deutsche Bank
Berlin, DE
NLS Investigator Analyst Working in the KYC dept to conduct investigations into PEPs, SAE, and AML risks, ensuring compliance with regulatory standards.
EDUCATION
Victoria University of Wellington
Bachelor of Science (BSc), Environmental Studies
SPICED Academy
Data Science Boot Camp
SKILLS
ABOUT NATHAN AUSTIN
Senior Data Scientist and Financial Crime Analyst bridging regulatory insight with technical execution. With experience at Deutsche Bank and as a freelance consultant, I design and deploy automation tools, predictive systems, and ML pipelines that optimize compliance and business operations.I specialize in AML/KYC investigations, sanctions screening, and real-time transaction monitoring—using Python, SQL, and ML to reduce risk and increase operational efficiency. My work includes developing NLP-based screening tools, real-time dashboards, and custom analytics solutions that have cut processing time by up to 40%.Beyond compliance, I’m passionate about technology for social good. As Lead ML Instructor at ReDI School, I’ve taught over 70 students from marginalized communities through hands-on AI projects.Key projects include Clubfindr—a full-stack nightlife app using Spotify data and genre-based ML recommendations—and an automated procurement system that reduced supply chain errors by 30%.I’m currently focused on roles that combine data science, ethical AI, and platform innovation—where I can help organizations solve real-world problems with robust, scalable solutions.Core Tools: Python (Pandas, NumPy, TensorFlow, Keras), SQL, Docker, Power BI, Tableau, PostgreSQL, MongoDB, REST APIs, AWS, Git
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