AI-Driven Middle Office Associate - Trading and Automation

Cornerstone Global Partners; Hong Kong; Sur place; HKD 420 000 - 520 000; Plein temps

Résumé du poste

Cornerstone Global Partners seeks a Middle Office Specialist to bridge investment operations and digital transformation. The role emphasizes hands-on trade execution, reconciliation, and data-driven improvement.

You will work with Bloomberg Terminal, financial APIs, and AI agents to automate screening, dashboards, and processes in a fast-paced environment. Fresh graduates with strong technical and quantitative backgrounds are welcome.

Qualifications

• 1-2 years of professional experience in asset management, banking, or financial operations
• Bachelor's degree in Finance, Economics, Computer Science, Data Analytics or related quantitative discipline
• Solid understanding of multi-asset trade execution, reconciliation, settlement workflows
• Excellent bilingual communication between business and engineering teams

Responsabilités

• Execute, monitor, and optimize trade flows via Bloomberg Terminal (EMSX/TOMS/PORT)
• Resolve trade mismatches, corporate action breaks, and custodian exceptions with precise reconciliations
• Lead modernization by engineering autonomous AI agents and automated data pipelines
• Leverage financial APIs and multi-agent frameworks to streamline market research and real-time analytics

Connaissances

Python

Data analytics

KYC AML knowledge

Financial market understanding

Bilingual communication

Formation

Bachelor's degree in Finance, Economics, Computer Science, Data Analytics

Outils

Bloomberg Terminal

FactSet

n8n

LangChain

LangGraph

Dify

Description du poste

Cornerstone Global Partners seeks a Middle Office Specialist to bridge investment operations and digital transformation. The role emphasizes hands-on trade execution, reconciliation, and data-driven improvement.

You will work with Bloomberg Terminal, financial APIs, and AI agents to automate screening, dashboards, and processes in a fast-paced environment. Fresh graduates with strong technical and quantitative backgrounds are welcome.