Commercial and Investment Bank - Treasury – Vice President, Treasury Analytics & Technology

JPMorgan Chase JPMorgan Chase · Banking · Singapore · Commercial & Investment Bank

This role focuses on developing and deploying automated dashboards, analytical tools, and reporting solutions for treasury functions within a bank. It involves building data pipelines, APIs, and leading automation initiatives, with a requirement for strong Python, SQL, and VBA skills. While it mentions driving adoption of AI tools, the core responsibilities are in traditional analytics, automation, and data engineering, not core AI/ML model development.

What you'd actually do

  1. Design, develop, and deploy automated dashboards, analytical tools, and reporting solutions for balance sheet monitoring, liquidity metrics, and scenario analysis
  2. Lead automation initiatives to streamline workflows and enhance productivity across treasury processes
  3. Build and maintain data pipelines and APIs, ensuring data integrity, controls, and reconciliation
  4. Author business and functional requirements documents, process maps, and acceptance criteria; translate into user stories and test cases
  5. Partner with technology teams to deliver strategic projects and implement target-state solutions

Skills

Required

  • Python
  • SQL
  • VBA
  • BI tools for dashboarding
  • Data models
  • BRDs/FRDs
  • Business use cases
  • Data contracts
  • User stories
  • Process design
  • Documentation
  • Data quality
  • Controls
  • Reconciliation frameworks
  • Lineage
  • Access controls
  • Monitoring
  • Alerting
  • Communication
  • Stakeholder management
  • Project management

Nice to have

  • Databricks
  • Snowflake
  • Tableau
  • Power BI
  • Alteryx
  • Treasury concepts
  • Funds transfer pricing
  • Liquidity premium
  • Stress testing
  • Asset and liability management
  • Liquidity regulations (LCR, NSFR)
  • APAC legal entity management
  • Global banking environment
  • MSc in Computer Science
  • Financial Engineering
  • Strategic transformation initiatives
  • System implementations
  • Automation
  • Regulatory change programs

What the JD emphasized

  • Minimum 7 years’ experience in a technical or IT role within banking or financial services
  • Advanced proficiency in Python, SQL, and VBA
  • Proven experience drafting BRDs/FRDs, defining business use cases, data contracts, and user stories; strong process design and documentation skills
  • Data quality and controls mindset: reconciliation frameworks, lineage, access controls, monitoring, and alerting
  • Understanding of liquidity regulations (LCR, NSFR) and APAC legal entity management