Commercial and Investment Bank - Treasury Analytics & Technology - Associate

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

Develops and deploys automated dashboards, analytical tools, and reporting solutions for treasury analytics, focusing on balance sheet monitoring, liquidity metrics, and scenario analysis. Leads automation initiatives, builds data pipelines, and partners with technology teams. Drives adoption of AI tools and coding standards to automate manual tasks.

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 modeling
  • BRD/FRD authoring
  • Business use case definition
  • Data contracts
  • User story creation
  • Process design
  • Documentation
  • Data quality
  • Controls
  • Reconciliation frameworks
  • Lineage
  • Access controls
  • Monitoring
  • Alerting
  • Communication skills
  • Stakeholder management
  • Project management

Nice to have

  • Databricks
  • Snowflake
  • Tableau
  • Power BI
  • Alteryx
  • Treasury concepts (funds transfer pricing, liquidity premium, stress testing, ALM)
  • Liquidity regulations (LCR, NSFR)
  • APAC legal entity management
  • Global banking treasury support
  • MSc in Computer Science, Financial Engineering
  • Strategic transformation initiatives

What the JD emphasized

  • Minimum 6 years’ experience in a technical or IT role within banking or financial services
  • Advanced proficiency in Python, SQL, and VBA
  • Strong experience in BI tools for dashboarding
  • 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
  • Strong project management skills