Senior Data Scientist — Home Lending Analytics

Next Frontier Capital; Metro Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

JPMorganChase in Manila seeks a Senior Associate Data Scientist for the Home Lending Data and Analytics team. Translate data into clear insights and recommendations that guide product decisions and business outcomes.

You will define success metrics, validate data, and deliver measurement that stakeholders can trust. This role partners with analytics and predictive modeling teams to enable reliable analysis and model development.

Qualifications

• Three years of experience in analytics, data science, BI, or related quantitative role.
• Strong SQL skills with complex querying, joins, aggregations, and data validation.
• Proficiency in Python, SAS, or R for data analysis and modeling.

Responsibilities

• Identify obstacles to business goals using analytics and data science techniques.
• Analyze data to uncover trends, drivers, and patterns and translate findings into narratives.
• Define success metrics and measurement approaches aligned to product goals.
• Validate data sources and perform data quality checks for reliable analysis.
• Extract, transform, and analyze data using SQL to produce reproducible datasets.
• Partner cross-functionally to identify friction points and opportunities.
• Surface data-driven opportunities to improve efficiency and customer experience.
• Gather requirements and clarify business questions for analytical deliverables.
• Deliver timely analyses and summaries tailored to audience and decision context.
• Document work and contribute to team standards for rigor and learning.
• Maintain attention to detail and analytic integrity in a fast-paced environment.

Skills

Analytics experience

Communication

Time management

Cross-functional collaboration

Problem solving

Tools

SQL

Python

SAS

R

Job description

JPMorganChase in Manila seeks a Senior Associate Data Scientist for the Home Lending Data and Analytics team. Translate data into clear insights and recommendations that guide product decisions and business outcomes.

You will define success metrics, validate data, and deliver measurement that stakeholders can trust. This role partners with analytics and predictive modeling teams to enable reliable analysis and model development.