Location: Metro Manila, National Capital Region, Philippines

Be at the heart of a data and analytics organization that supports data-driven decisions with an emphasis on security, quality, controls, and responsible data use. 
 

Job Summary:

As a Quantitative Analytics Senior Associate in Home Lending Servicing Data Analytics, you support the servicing organization by translating data into insights and operational improvements. 
 

Job responsibilities:
 

• Collaborate with business partners to gather, clarify, and document reporting and analytics requirements
• Develop, test, and maintain operational and analytical reports and dashboards using SQL and reporting tools
• Produce business requirements and functional specifications that support delivery and ongoing support
• Extract, manipulate, and synthesize data from multiple sources to identify trends, patterns, and actionable insights
• Apply statistical modeling and machine learning techniques to uncover insights and optimize servicing processes
• Identify and implement opportunities to use automation and large language models to improve efficiency and reduce manual effort

 

Required qualifications, capabilities, and skills 
 

• Five years of experience in quantitative analysis or data analysis
• Three years of advanced SQL experience, including complex queries (multi-join queries, common table expressions, window functions)
• Five years of experience using business intelligence or reporting tools (for example, Alteryx, Power BI, Tableau, SQL Server Reporting Services, or ThoughtSpot)
• Working knowledge of Python (or a similar language) for analytics and automation
• Demonstrated ability to frame ambiguous questions into structured analyses using hypotheses, inputs, and success metrics
• Ability to manage multiple deliverables, prioritize effectively, and maintain strong attention to detail from analysis through production-ready reporting
• Strong written and verbal communication skills, including the ability to present complex analysis to technical and non-technical audiences

Preferred qualifications, capabilities, and skills

• Knowledge of home lending products and servicing processes
• Familiarity with generative artificial intelligence concepts, including basic prompt development and evaluation
• Experience influencing stakeholders through negotiation and practical, win-win solutions

 

 

Use analytics to improve performance through insights, dashboards, and process optimization.