Senior Data Scientist II

Advanced degree (PhD preferred) in a quantitative field 5+ years of experience in Data Science (can include PhD work) 2+ years of experience working with data relevant to Financial Services Experience working with cashflow data (e.g., Plaid, MX, Finicity) highly preferred Proficiency in Python and SQL Hands-on experience with Spark/PySpark a plus Experience with Neural Networks, LLMs, GenAI Experience with credit and/or fraud risk a plus Familiarity with version control systems such as Git

Build new AI/ML models leveraging bank transaction data Rapidly experiment, build, and iterate on solutions Provide guidance on test design and data collection Employ the latest GenAI techniques Work closely with Data and Machine Learning Engineering teams Clearly communicate modeling objectives, assumptions, limitations, and performance considerations to stakeholders Explore and validate data sources Ensure that work is reproducible with clear, maintainable code Work cross-functionally to gather insights and requirements