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The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.

Serve as first point of contact for production incidents across a global quantitative trading platform. Triage, investigate, and resolve live issues, escalate as needed, collaborate with developers for deployments, build automation and tools (including AI integrations), and maintain monitoring and performance in a Linux-based environment.

Manage full lifecycle recruiting for front-office roles (Quants, Strats, Risk, Technology). Partner with business stakeholders and search firms, source and engage candidates, run processes end-to-end, and ensure a best-in-class candidate experience while supporting broader hiring needs.

Support daily U.S. and early APAC trading operations: monitor workflows, coordinate with prime brokers and counterparties to resolve missing files, trade rejects and order mismatches, perform OMS and position reconciliations, investigate breaks, collaborate with trading and technology teams, and assist with process improvements while learning hedge fund operations.

Coordinate recruitment activities for global offices: schedule interviews across time zones, manage ATS records, arrange candidate travel, liaise with hiring managers and agencies, compile recruitment reports, improve processes, and support diversity initiatives.

The Risk Manager will oversee risk assessments, develop strategies, monitor risks, and collaborate with teams on managing credit product risks.

Designs and maintains the enterprise AI knowledge library and role-based AI curriculum. Creates content, manages LMS/CMS, runs training events, tracks KPIs, and produces analytics dashboards. Partners with AI Technology and business units to drive adoption, run communications, support AI champions, and continuously improve training based on user feedback and metrics.

The Communications Associate will support global communications strategies, manage messaging, assist with events, and collaborate across teams to enhance engagement.

The Software Engineer will enhance the Business Analytics team's infrastructure through Python coding, automation, and reporting while collaborating with business stakeholders.

Design, build, and operate highly available reference/master data systems for a hedge fund. Lead architecture, cloud microservices, LLM/agentic solutions, and cross-functional projects while mentoring engineers and improving reliability, security, and performance.