Junior Analyst - AI Initiatives

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

$30-$30/hr not verified - source not recorded; timestamp not recorded

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Junior Analyst - AI Initiatives La Jolla We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world's investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. Position Overview As a Junior Analyst on the AI Initiatives team, you will support the development, testing, and operationalization of AI-driven data pipelines that enhance portfolio monitoring and private-markets analytics. This is an early-career role ideal for someone who enjoys hands-on data work, problem-solving, and learning how AI can be applied in private-markets investing. You will be instrumental in the analytical core of the team, ensuring our AI/ML models are accurate, efficient, and deliver maximum insight Key Responsibilities - Model Validation and Performance Tuning: Assist in running, analyzing, and improving the performance of existing AI/ML pipelines. - Assist in complex data structuring challenges by applying cleaning and transformation techniques across heterogeneous inputs, including large-scale database extracts (SQL), proprietary documents, and legacy data in Excel, to ensure maximum data integrity for AI initiatives. - Backtesting and Scenario Analysis: Design and execute backtests and scenario analyses based on senior team hypotheses to stress-test model robustness and quantify potential investment impact. - Integration Testing & Requirement Definition: Collaborate closely with the engineering team by testing the integration of model outputs into internal tools. Document specific data and format requirements necessary for operationalizing new AI features. - Process

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