Data Scientist - Strategy & Reporting

JPMorganChase; Manila; On-site; PHP 1,200,000 - 1,500,000; Full time

Job summary

JPMorganChase is hiring a Quantitative Analytics Senior Associate in Manila to deliver advanced analytics supporting home lending sales. This role involves combining data manipulation and analysis to inform sales strategy while creating clear reports and automating workflows.

The candidate must have a degree in an analytical field, two years of relevant experience, and proficiency in SQL, Python, and Excel. Strong communication and critical thinking skills are essential for this position.

Qualifications

• Bachelor's or advanced degree in an analytical field (e.g., computer science, economics, mathematics, statistics, engineering, or operations research).
• Two years of experience in data analysis or data science.
• Proficiency with SQL for data extraction, transformation, and validation.
• Proficiency with Python for analysis and automation.
• Proficiency with Microsoft Excel for analysis and reporting.
• Strong critical thinking skills connected to business strategy.
• Strong communication skills, including data storytelling.

Responsibilities

• Deliver advanced analytics and data-driven solutions for home lending sales challenges.
• Analyze data using internal and external sources.
• Perform descriptive, diagnostic, and predictive analyses.
• Create clear visualizations and narratives communicating insights.
• Identify opportunities to enhance business intelligence.
• Build analytical frameworks to support strategic business priorities.
• Collaborate with partners to strengthen data foundations.

Skills

Data analysis

SQL

Python

Data visualization

Business strategy connection

Communication skills

Education

Bachelor's or advanced degree in an analytical field

Tools

Excel

Data visualization tools

Cloud platforms (AWS, Snowflake)

Salesforce

GitHub

Job description

Job Summary

Quantitative Analytics Senior Associate in Home Lending Data and Analytics supporting Sales. You deliver advanced analytics that informs sales strategy and optimization, combining data manipulation, quantitative analysis, and business judgment to identify opportunities and recommend actions. You build clear reporting, compelling narratives, and automate analytics workflows to improve decision‑making and business outcomes.

Job Responsibilities

• Deliver advanced analytics and data‑driven solutions for a wide range of home lending sales business challenges.
• Explore, assemble, organize, and analyze data using internal and external sources and tools.
• Perform descriptive, diagnostic, and predictive analyses to uncover trends, patterns, and actionable insights.
• Create clear visualizations and narratives that communicate insights and recommendations to business stakeholders.
• Identify opportunities to enhance business intelligence and automate reporting to support decision‑making.
• Build analytical frameworks that support strategic and complex business priorities.
• Collaborate with business and technology partners to strengthen data foundations and apply artificial intelligence to automate and deliver innovative solutions.

Required Qualifications, Capabilities, and Skills

• Bachelor's or advanced degree in an analytical field (e.g., computer science, economics, mathematics, statistics, engineering, or operations research).
• Two years of experience in data analysis or data science.
• Proficiency with SQL for data extraction, transformation, and validation.
• Proficiency with Python for analysis and automation.
• Proficiency with Microsoft Excel for analysis and reporting.
• Experience using data visualization tools to communicate insights.
• Strong critical thinking skills, including the ability to connect analysis to business strategy and measurable outcomes.
• Strong written and verbal communication skills, including data storytelling for business stakeholders.

Preferred Qualifications, Capabilities, and Skills

• Experience using cloud platforms for large‑scale data processing (e.g., Amazon Web Services or Snowflake).
• Experience with Salesforce for lead management and sales workflows.
• Experience using GitHub for collaborative analytics and version control.
• Strong experience with visualization tools, including products with artificial intelligence and natural‑language capabilities.
• Experience in financial services, including mortgage or related business experience.

EEO and Diversity Statement

JPMorganChase is an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.