Treasury AI Analyst: SQL & Python Data Translator

Straive; Taguig; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Straive is seeking a Technical Business Analyst (SQL, Python, AI) to bridge treasury and finance operations with AI solutions and data literacy. You will support the development and delivery of machine learning initiatives in treasury and corporate finance.

Responsibilities include translating business needs into data requirements, validating data quality, guiding feature engineering, and defining acceptance criteria for probabilistic AI outputs within Agile sprints.

Qualifications

• Strong knowledge of treasury and corporate finance operations, including cash flow forecasting and risk management.
• Experience with data modeling for AI projects in finance is a plus.

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 & Corporate Finance

SQL

Python

Data Visualization

Agile/Scrum

Cash Flow Forecasting

FX Hedging

TMS (SAP Treasury, Kyriba, Quantum)

Job description

Straive is seeking a Technical Business Analyst (SQL, Python, AI) to bridge treasury and finance operations with AI solutions and data literacy. You will support the development and delivery of machine learning initiatives in treasury and corporate finance.

Responsibilities include translating business needs into data requirements, validating data quality, guiding feature engineering, and defining acceptance criteria for probabilistic AI outputs within Agile sprints.