Kensho is looking to solve the problem of harnessing the power of data and Artificial Intelligence to innovate and drive progress for S&P Global and its customers worldwide.
Requirements
- Proficiency with SQL: experience using CTEs, subqueries, window functions, and complex logic to work with large and nuanced datasets
- Has experience working with JSON and HTML/XML
- Data transformation and analysis: Python, Pandas, Numpy
- Deployment: tools such as Airflow
- Datastores: S3, Snowflake
- Annotation tools: Labelbox
Responsibilities
- Manage engagements with internal and external subject matter experts with Banking, investment, etc. backgrounds
- Advise ML teams as an subject matter expert on various GenAI projects and workflows
- Collaborate with ML teams at Kensho to plan data annotation projects: developing ontologies, drafting instructions, and establishing project timelines and milestones.
- Import and export data to and from annotation tools, managing data pipelines that support labeling workflows.
- Assist and guide our offshore data labelers and sign off on quality.
- Create final datasets for ML teams once labeling is completed, and analyze the finalized data for trends and edge cases.
- Assist with training and mentoring our offshore data team.
Other
- Have 3+ years of industry experience in private equity, asset management, or investment banking
- Have 0-1 years of management or mentorship experience
- Have experience assigning and reviewing deliverables.
- Have experience partnering and collaborating with product and technical teams
- Are an innovation-oriented person who can come up with out-of-the-box solutions
