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.
Assist with ad-hoc, high-visibility data projects as needed.
A secondary focus of this role may include training and assigning S&P auxiliary employees labeling projects. This encompasses distributing instruction sets, identifying and addressing edge cases, refining annotation guidelines, and pinpointing areas / cases where ML models struggle.
Requirements
3+ years of industry experience in private equity, asset management, or investment banking
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
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
Are a thoughtful and collaborative teammate
Are highly organized and result-oriented with superior attention to detail
Benefits
Medical, Dental, and Vision insurance 100% company paid premiums
Unlimited Paid Time Off
26 weeks of 100% paid Parental Leave (paternity and maternity)
401(k) plan with 6% employer matching
Generous company matching on donations to non-profit charities
Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
Plentiful snacks, drinks, and regularly catered lunches
Dog-friendly office (CAM office)
Bike sharing program memberships
Compassion leave and elder care leave
Mentoring and additional learning opportunities
Opportunity to expand professional network and participate in conferences and events
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