Key skills
PythonRAIAnalyticsStatistical Analysis
About this role
Role Overview
- Extract, manipulate, and analyze large datasets using data analytics platforms; interpret code logic to validate data pipelines and ensure accuracy.
- Recommend new quantitative methodologies for consideration and/or evolve quantitative methodologies already in practice.
- Apply advanced statistical techniques (SEM, ENET, K-means, etc.) to uncover actionable insights.
- Identify opportunities to automate analysis, including leveraging AI and ensure access to broader range of behavioral and operation data points.
- Create a knowledge warehouse for repeatable code and processes that can be leveraged by more junior analysts.
- Build strong relationships across the team and bank to align research priorities with strategic goals.
- Directly manage three analysts, acting as a player-coach, guiding team members on technical and analytical best practices.
- Synthesize findings into deep, compelling narratives and presentations and teach directs how to create a clear path from one insight to another.
Requirements
- Bachelor’s degree in Behavioral Science, Economics, Data Science, or related field (Master’s preferred) or equivalent experience.
- 10+ years in Data Analytics, or related roles.
- Strong data analytics platform skills for statistical analysis, automation, and data modeling (Python preferred, R, SPSS, etc.)
- Ability to write, read and interpret code for troubleshooting and validation.
- Ability to interpret complex data from multiple sources and connect insights across studies.
- Exceptional written and verbal skills.
- Proficiency in MS Excel, PowerPoint.
- Intellectually curious, detail-oriented, and comfortable in fast-paced, ambiguous environments.
Tech Stack
- Python
Benefits
- Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.