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Review and approve AML documentation for investor accounts, investigate and resolve screening hits, escalate high-risk items, liaise with clients and auditors, perform quality checks, support AML audits, and train junior staff to ensure regulatory compliance.

Supervise fund accounting activities including NAV calculation, review of expenses, income and fee calculations, financial statements and regulatory reporting; lead fund launches; act as client contact; train and mentor analysts; manage controls and stakeholder relationships.

Supervise Investment Operations team handling daily reconciliations for syndicated and private debt loans in Alternative Funds. Reconcile bank debt transactions using Geneva and Markit, investigate breaks, maintain security master data, produce reconciliation reports, coordinate with investment managers, agent banks and accounting teams, support solution development and projects, ensure controls, and mentor staff.

Maintain fund accounting books and records, calculate NAV, prepare financial statements, regulatory reporting and expense/fee schedules, support audits and fund launches, and manage client queries and controls for complex fund structures.

Support monthly invoicing and close for multiple business units: review contracts, maintain billing systems, prepare journal entries, reconcile revenue and balance sheet accounts, manage AR and aged receivables, update SOX narratives, and assist auditors.

As an Operations Analyst, manage accounts, perform reconciliations, quality control checks, and communicate with clients and vendors. Drive process improvement and collaborate within the team.

Maintain and review fund accounting books and NAV production, prepare financial statements and regulatory reports, oversee delegates, manage NAV-related client queries, support new fund launches, and ensure controls and compliance for alternative and closed-ended fund structures.

Design, build, and deploy enterprise-grade LLM and Generative AI solutions (RAG, agents, vector DBs, semantic search). Architect APIs, integrations, and production pipelines; evaluate emerging AI tools; implement governance, security, observability, and reusable AI platform components to drive business adoption.

Provide entry-level investment operations support including security master setup and maintenance, trade and pricing support, corporate actions and dividend processing, client onboarding, exception resolution, vendor communication, and participating in system testing and process documentation.

The Senior Data Scientist will lead AI initiatives, develop models, mentor others, and ensure successful product delivery while adhering to data regulations.