Senior Machine Learning Modeler, Financial Crimes,

3 weeks ago

Can Tho, Can Tho, Vietnam Cash App Full time

**Detect and prevent financial crimes on a global scale with Cash App's Financial Crimes Technology team**

Cash App's Financial Crimes Technology team is responsible for detecting and reporting illegal and suspicious activity on the platform. We work closely with partners in Product, Counsel, and Engineering to ensure a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are using Machine Learning and Generative AI as key tools to fulfill our mission. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity, and terms of service violations) for agent review. Our systems block payments in real-time where appropriate. Additionally, we use generative AI technologies to improve agent workflow and case review tools, by adding features that accelerate agent productivity and allow them to make more informed and accurate decisions.

This is an IC role with leadership responsibilities, including leading strategic roadmaps and priorities to completion by collaborating with relevant cross-functional stakeholders.

You will:

  • Facilitate Cash App's ML-based Customer Risk Rating program to detect onboarding and ongoing risk and satisfy Know Your Customer (KYC) and Know Your Business (KYB) requirements
  • Build classification models to detect illegal use of the app across the peer-to-peer, banking, card, equities, and bitcoin products
  • Leverage diverse data sets, including payment transactions, connected users, and asset graphs, unstructured text data, and user profile information to build ML and generative AI models
  • Experiment and deploy AI copilot and self-driving solutions at scale to improve agent productivity and/or eliminate manual decision loops altogether
  • Work with embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance
  • Use Python ML stack, LLMs, PyTorch, Snowflake, Airflow-based tools, and cloud services (both GCP & AWS)

You have:

  • 4+ years of Machine Learning modeling experience. Full-stack ML experience
  • A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
  • End-to-end experience building and deploying ML to production systems (batch and real-time) that are performant at scale
  • Experience with advanced ML techniques like large language models, embeddings, sequence modeling, and graph convolutional networks
  • Experience of independently driving programs with multiple cross-functional stakeholders (e.g., Engineering, Product, and Country leads) that have business impact
  • Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value

Cash App is a global technology company with a focus on financial services. We build tools to help more people access the economy. Our company is made up of Square, Cash App, Spiral, TIDAL, and TBD. We are committed to building a more inclusive economy where our customers have equal access to opportunity.

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