Location:United States
Languages:English
Seniority level:Senior, 5+ years
Experience:5+ years
Skills:PythonSQLArtificial IntelligenceMachine LearningData science
- 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