Block's Cash App is looking to leverage Machine Learning and AI to enhance the safety and trustworthiness of its financial products, specifically focusing on teen banking. The goal is to detect and prevent risky or abusive activity, strengthen account integrity, and ensure a secure ecosystem for families using the platform.
Requirements
- Strong knowledge of machine learning algorithms and data analysis techniques
- Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
- MySQL, Snowflake, Tableau, Mode
- GCP/AWS
Responsibilities
- Build machine learning models to detect and act against risky or abusive activity across the Cash Families product
- Collaborate cross-functionally with engineering, product, and operations teams to design systems and features to protect and maintain trust with our customers
- Work closely with the ML Engineering teams who build the systems that allow our models to operate at scale and in real time
- Research emerging risks and behavioral patterns in financial activity to proactively shape safeguards and policy
- Contribute to the growth of our modelling capabilities through mentoring and supporting fellow modellers
- Exercise a high level of autonomy and responsibility, owning your solutions from design through to operation
Other
- 5+ years of experience in machine learning, artificial intelligence, or a related field
- Excellent problem-solving skills and attention to detail
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Masters or PhD preferred
