AI Engineer
Summary
Junior-leaning AI and data engineering role supporting a bank's global trading, risk, and operations technology teams. Day-to-day work combines frontline trading application support, data pipeline engineering, and helping senior engineers deploy AI/automation tools like Microsoft Copilot and GitHub 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