Treasury AI Analyst - Cash Flow, Data & Insights

SPi Global (now Straive); Taguig; On-site; PHP 1,200,000 - 1,900,000; Full time

Job summary

SPi Global (now Straive) is seeking a Senior Business Analyst to bridge treasury and corporate finance with AI initiatives in Metro Manila. You will leverage domain expertise to guide data science work, define data requirements, and articulate AI outputs for executive audiences.

The role involves collaborating with data scientists, validating data assumptions, and delivering actionable insights through visualization tools, all within Agile sprints.

Qualifications

• Deep treasury and corporate finance operations knowledge.
• Ability to identify data sources and assess data quality for AI projects.
• Ability to translate business needs to AI/ML teams.

Responsibilities

• Demonstrate deep understanding of treasury and corporate finance operations, including cash flow forecasting, risk management, and financial instruments
• Identify where financial data lives, its format, and data quality issues to support AI project success
• Communicate with data scientists about which business variables matter and provide feature engineering input
• Translate black-box AI predictions into rationale that CFOs and Treasurers will trust
• Define acceptance criteria for probabilistic AI outputs, unlike traditional deterministic software requirements
• Query databases independently to validate data assumptions before handing them to the development team
• Use data visualization tools to mock up how AI insights will be delivered to executives
• Work in iterative sprints, manage product backlogs, and write user stories

Skills

Treasury knowledge

Cash flow forecasting

Liquidity management

FX hedging

ERP systems

SQL

Power BI/Tableau

Agile/Scrum

Tools

SAP Treasury

Kyriba

Quantum

Oracle

SAP ERP

Power BI

Tableau

Job description

SPi Global (now Straive) is seeking a Senior Business Analyst to bridge treasury and corporate finance with AI initiatives in Metro Manila. You will leverage domain expertise to guide data science work, define data requirements, and articulate AI outputs for executive audiences.

The role involves collaborating with data scientists, validating data assumptions, and delivering actionable insights through visualization tools, all within Agile sprints.