AI Engineer
Summary
This role supports a bank's trading, risk, and finance technology operations by providing application support, building data pipelines, and assisting senior engineers with the implementation of AI tools like Microsoft Copilot.
This role supports the bank's trading, risk, operations, and finance technology across global operations. It suits a technically-minded candidate looking to build experience across trading technology, application support, data engineering, and applied AI — working under senior engineers rather than leading independently.
Core responsibilities:
- Trading application support — Provide frontline support for front-office trading, risk, and market data systems: monitoring production, investigating incidents, coordinating fixes with technology teams and vendors, and supporting daily operations (trade processing, market data checks, batch monitoring, reconciliations). Includes rotational on-call/incident duties and maintaining support documentation.
- Data engineering & analytics — Help build and maintain data pipelines, run data validation/reconciliation checks, support reporting and dashboarding for business and tech stakeholders, and maintain data catalogues and documentation.
- AI & innovation — Support senior engineers in rolling out AI and automation solutions (e.g., Microsoft Copilot, GitHub Copilot), assist with testing/deployment of AI-driven tools, and help spot process-improvement opportunities using data and AI.
- Operations & controls — Support monitoring/alerting across production environments, assist with DR testing and business continuity activities, and follow security/risk/governance protocols in all data and application work.
- Collaboration — Work closely with traders, risk, operations, and tech teams; participate in project delivery and change management; build knowledge of trading systems and financial markets while contributing to team-wide learning.
Requirements:
- Some exposure to AI/ML, Microsoft Copilot, or data analytics tools
- Basic grasp of financial markets, trading, or banking tech environments
- Strong analytical and problem-solving ability
- SQL experience for data investigation and business support
- Understanding of databases, data processing, and system integrations
Nice-to-have:
- Hands-on AI/ML experience beyond basic exposure
- Background supporting trading, market risk, settlement, or market data systems
- Familiarity with trading platforms (Murex, Bloomberg, Reuters, or similar)
Account Manager
Jason He Runfeng
EA License No: 16S8107
EA Personnel Registration No: R25157533