Job Summary
A financial technology company is seeking a Remote Financial Crimes Machine Learning Modeler in San Francisco.
Core Responsibilities of this position include:
- Building classification and anomaly detection models to detect criminal & unusual activity across Cash App’s p2p, banking, debit card, equities and crypto products
- Developing customer risk rating models that facilitate KYC at onboarding and ongoing basis for Square Sellers
- Using Python (numpy, pandas, sklearn, xgboost, Pytorch, TensorFlow, keras, plotnine etc.), MySQL, Snowflake, GCP, AWS for developing models
Qualifications for this position include:
- A graduate degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
- 4+ years of Machine Learning and/or Deep Learning experience
- Experience with advanced techniques like word embeddings, sequence modeling, and graph convolutional networks is a big plus
- Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models
- Have a curious, passionate, growth-oriented mindset
