Metro Manila, National Capital Region, Philippines
Live, first seen by us 79 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Develop, test, and maintain Python utilities for valuation and risk analytics
Gather requirements and implement analytics tools in the team's proprietary platform
Translate business needs into datasets and data models for valuation and back-testing
Manage projects end-to-end, including scope, milestones, and execution quality
Document processes, definitions, and assumptions for audit-ready outputs
Develop, test, and maintain Python utilities that support valuation and risk analytics workflows
Gather requirements and implement analytical tooling into a proprietary analytics platform used by the team
Translate business needs into datasets and data models that support valuation, back-testing, and analysis
Manage projects end-to-end, including scope, milestones, dependencies, and execution quality
Document processes, definitions, and assumptions to enable repeatable analysis and audit-ready outputs
Required qualifications, capabilities, and skills: - Bachelor’s degree in financial engineering, statistics, mathematics, computer science, or a related field - Two years of experience in data-focused development or analytics roles
Preferred qualifications, capabilities, and skills: - Master’s degree in financial engineering, statistics, mathematics, computer science, or a related field - Experience with performance analysis and code optimization
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Day 79
Up longer than most. Similar jobs usually come down between day 8 and day 59.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 11,367 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
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- Assemble, organize, and analyze data using proprietary, industry-standard, and open-source sources and tools - Develop, test, and maintain Python utilities that support valuation and risk analytics workflows - Support valuation model and risk processes by managing data access, data inputs, and local implementation needs
- Two years of experience in data-focused development or analytics roles - Advanced Python proficiency for data analysis and production-quality code - Proficiency with SQL for data extraction, transformation, and analysis
- Advanced Python proficiency for data analysis and production-quality code - Proficiency with SQL for data extraction, transformation, and analysis - Experience with machine learning and statistical modeling methods, including classification, regression, and time-series forecasting
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New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Bring your expertise to a role where advanced analytics directly supports valuation and risk management decisions. You’ll own projects end-to-end, from requirements through implementation and measurable outcomes. You’ll help strengthen data governance and reliability while improving how analysis is delivered and consumed. If you enjoy translating complex data into clear, decision-ready outputs, this role is for you.
Job summary :
As a Data Scientist in the Mortgage Servicing Rights team, you use data science and analytics to support portfolio valuation and risk management. You partner with quantitative modelers, business stakeholders, and technology teams to design and deliver tools and analyses that improve decision-making. You manage delivery end-to-end, ensuring outputs are timely, well-tested, and documented. You apply strong data management discipline and follow applicable governance and security standards to ensure trusted results.
Job responsibilities:
Required qualifications, capabilities, and skills:
Preferred qualifications, capabilities, and skills:
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Metro Manila, National Capital Region, Philippines
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