Middle Office Specialist (Trading and AI Automation)

Cornerstone Global Partners; Hong Kong; On-site; HKD 420,000 - 520,000; Full time

Job summary

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

Responsibilities

• 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

Skills

Python

Data analytics

KYC AML knowledge

Financial market understanding

Bilingual communication

Education

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

Tools

Bloomberg Terminal

FactSet

n8n

LangChain

LangGraph

Dify

Job description

Middle Office Specialist (Trading and AI Automation)

Our client is seeking an adaptable, tech-forward Middle Office Specialist to join. This unique role bridges investment operations and digital transformation. Fresh graduates with a strong technical (Python / Data) and financial background are welcome to apply.

Key responsibilities

Execute, monitor, and optimize trade flows via Bloomberg Terminal (EMSX/TOMS/PORT) and track benchmarks (VWAP, TWAP, Implementation Shortfall).

Resolve trade mismatches, corporate action breaks, and custodian exceptions while maintaining precision cash reconciliations and audit-ready blotters.

Spearhead operational modernization by engineering autonomous AI agents, intelligent investment assistants, and automated data pipelines.

Harness financial APIs (Bloomberg, FactSet) and multi-agent frameworks (n8n, Dify, LangChain/LangGraph) to streamline market research, quantitative screening, and real-time dashboard analytics.

About you

1-2 years of professional experience in asset management, banking, or financial operations (Exceptional fresh graduates with strong internships will be considered).

Bachelor's degree in Finance, Economics, Computer Science, Data Analytics, or a related quantitative discipline.

Solid understanding of multi-asset trade execution, reconciliation, settlement workflows, and platform familiarity (Bloomberg is a strong plus).

Strong attention to detail with an understanding of KYC, AML, and regulatory frameworks within financial services.

Excellent bilingual communication skills to translate technical concepts between business and engineering teams.

Prior exposure to common law jurisdictions, regulatory environments, and market structures is a plus.