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Lead oversight of external fund administrators for alternative funds: review NAV accounting and financial statements, ensure GAAP/IFRS and SEC/NFA compliance, manage investor and regulatory reporting, audits, valuations, reconciliations, and collaborate with internal and external partners to resolve operational issues and deliver custom reporting.

The Senior Data Scientist will own AI projects, prototype LLM solutions, evaluate AI performance, and mentor junior data scientists.

The Vice President, Business Manager for Aladdin will oversee workforce planning, manage hiring strategies, and enforce operational discipline within the organization, ensuring alignment with business priorities while improving processes and driving financial management.

Lead product strategy and execution for Aladdin's fixed income trading workflows. Partner with engineering, design, and clients to deliver scalable trading solutions, monitor market and regulatory changes, drive adoption, and measure success via usage metrics and client satisfaction.

Lead and contribute to building scalable, production-grade data systems for private markets. Architect end-to-end data workflows supporting analytics and AI/ML, ensure observability, testing, and operational maturity, influence technical strategy, engage senior stakeholders, and manage and mentor software engineers while partnering with product, data science, and business teams.

Lead cybersecurity engineering to embed supply chain integrity and DevSecOps across build, artifact, and deployment pipelines. Define end-to-end provenance, signing, attestation, and automated policy-as-code controls. Secure cloud-native platforms, container and IaC artifacts, and AI-assisted workflows. Partner with risk, infosec, and audit, report residual risk, and build and mentor a security engineering team and developer security champions.

The role involves building and supporting data-centric applications, ensuring quality data delivery, and troubleshooting issues in a fast-paced environment.

Designs, trains, evaluates, and deploys ML and AI models; implements MLOps for production, monitors model performance, collaborates with data scientists and stakeholders, and optimizes scalability and reliability.

Lead enterprise data risk oversight as a second-line director: assess first-line data owners and controls, manage data incidents, develop data risk metrics and reporting for senior committees, drive remediation and governance improvements, and build a high-performing oversight team. Communicate risks to executive and board levels and coordinate with Legal, Compliance, InfoSec, and Internal Audit.

Lead development and maturation of technology risk and control frameworks, define control objectives, establish metrics and KRIs, drive continuous monitoring and remediation, partner with engineering, security, audit and risk stakeholders to improve control effectiveness and enterprise resilience, and lead strategic risk reduction initiatives.