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The Sr. Analyst is responsible for quality assurance in calculations, supporting actuarial processes, conducting reviews for accuracy, and recommending improvements in methodologies and standards.

Lead the Private Markets Risk team to design and implement risk frameworks, oversee transaction and portfolio risk assessments across private assets, deliver portfolio-level reviews and stress testing, build cross-functional and external partnerships, develop team capabilities, support SVP and Board materials, and drive strategic initiatives including AI-enabled risk analytics.

Design, build, and maintain automated test frameworks and test cases (C#, Playwright) using BDD/Gherkin. Manage test data and environments with SQL, use Azure DevOps for test and defect management, integrate tests into CI/CD pipelines, leverage AI-enabled tools, troubleshoot deployments and integrations, and participate in Agile team ceremonies while contributing to continuous improvement.

Support sourcing, diligence, execution, and monitoring of private equity, co-investment, and fund opportunities. Build financial models, prepare investment memos, conduct industry/company research, assist deal structuring, monitor portfolio performance, support valuations and reporting, and contribute to strategic/internal initiatives and cross-functional deal execution support.

The Director, Fundamental Credit Risk conducts credit risk assessments for debt investments, partners with investment teams, and enhances credit monitoring practices using analytics and AI.

Lead Board Secretariat operations and governance services for the Board and Committees, manage meeting planning and minutes, advise executives on governance, drive governance modernization and technology adoption, run effectiveness reviews, oversee administration (onboarding, compensation, budget), and support continuous improvement.

The Sr. Data Architect designs and optimizes data architecture on Snowflake, develops scalable data pipelines, and leads architecture governance with a focus on performance and compliance.

Design and maintain ETL/ELT pipelines and semantic/analytical data models; extend metric layers for BI and LLM/RAG-driven natural-language analytics; apply AI/ML and data-science techniques to produce trusted investment metrics, insights, and recommendations; embed data quality, lineage, and governance; collaborate with investment, finance, and technology stakeholders to prototype and productionize AI-enabled reporting solutions.

Provide independent oversight and analysis of market risks for the Fund, focusing on Capital Markets strategies. Monitor exposures, limits, and attributions; support stress testing, scenario and sensitivity analysis; develop risk metrics, tools, dashboards and reports; apply programming, automation and AI-enabled tools to improve analytics; and collaborate with portfolio managers and stakeholders to inform risk-aware investment decisions.

Lead end-to-end business analysis and delivery for trading integration projects across front-to-back investment workflows. Elicit and document requirements, design integration artifacts, manage vendor onboarding, support testing and QA/UAT, and collaborate with stakeholders to improve data quality, straight-through processing, risk controls, and scalable trading technology solutions.