The CashApp Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. They need to leverage Machine Learning to monitor billions of dollars in transactions and uncover and stop financial crimes before they impact users.
Requirements
- 6+ years of machine learning experience with a focus on modeling and deployment
- Expertise in at least one area of the following areas: Natural Language Processing, Graph Neural Networks, Reinforcement Learning, or model explainability
- Prior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scale
- Python (NumPy, Pandas, Scikit learn, PyTorch, etc.) with occasional Kotlin and Java
- Snowflake, GCP, AWS, and orchestration tools such as Prefect and Airflow
- Transformer models (BERT, LLMs, etc.)
Responsibilities
- Design, develop, and deploy machine learning models to detect and prevent financial crimes such as money laundering, human exploitation, and terrorist financing
- Collaborate closely with stakeholders, business partners, and product engineering teams to ensure that data can be leveraged effectively to build efficient solutions within our regulatory program
- Produce and maintain thorough documentation of our program that can withstand regulatory scrutiny
- Proactively identify new opportunities and future needs of our ML teams
- Lead by example by applying ML and engineering best practices
- Stay current on ML developments in the field, foster an environment of continuous learning, and apply new learnings when applicable
- Have a significant impact on influencing team culture and direction
Other
- A degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
- Excellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed team
- Natural curiosity and desire to grow and help shape all aspects of our team
- We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
- We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process.
