PayPal is looking to solve complex problems in payment fraud, AML, KYC, and risk modeling within fintech or financial institutions by developing cutting-edge machine learning models and algorithms.
Requirements
- Strong proficiency in Python for data analysis, machine learning, and automation.
- Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).
- Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.
- Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
- Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.
- Familiarity with ML frameworks like TensorFlow or scikit-learn.
- Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
Responsibilities
- Assist in the development and optimization of machine learning models.
- Preprocess and analyze datasets to ensure data quality.
- Collaborate with senior engineers and data scientists on model deployment.
- Conduct experiments and run machine learning tests.
- Stay updated with the latest advancements in machine learning.
- Define and drive the strategic vision for machine learning initiatives across multiple teams or projects.
- Lead the development and optimization of state-of-the-art machine learning models.
Other
- Minimum of 15 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Minimum of 3 years management experience
- Ability to work cross-functionally with engineering, product, compliance, and operations teams.
- Proven track record of translating complex ML insights into business actions or policy decisions.
- Bachelor's degree or equivalent experience
