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What you’ll work on

You’ll collaborate with quantitative modelers, business partners, and technology teams to deliver well-tested, production-quality solutions.
You’ll own projects end-to-end and translate complex needs into clear, actionable outcomes.

From the employer’s posting

Be at the forefront of valuation and risk decision support by building analytics and data tools that stakeholders rely on. You’ll collaborate with quantitative modelers, business partners, and technology teams to deliver well-tested, production-quality solutions. You’ll own projects end-to-end and translate complex needs into clear, actionable outcomes. You’ll help strengthen data governance and reliability while continuously improving tooling and analysis. If you enjoy turning complex data into decision-ready insights, this role is for you. Job summary As a Data Scientist in the Mortgage Servicing Rights team, you leverage data science and analytics to support portfolio valuation and risk management. You partner with quantitative modelers, business stakeholders, and technology teams to define requirements and deliver trusted data products and analyses. You develop and improve tools and datasets that strengthen model valuation, back-testing, and decision-making. You manage delivery end-to-end, ensuring outputs are timely, tested, documented, and aligned to governance and security expectations.

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Tools in this posting

python
sql
excel

Source

- Assemble, organize, and analyze data using proprietary, industry-standard, and open-source sources and tools - Develop, test, and maintain Python programs and utilities that support valuation modeling workflows - Provide analytical and data management support for the portfolio valuation model and risk management, including data-source access and local implementation support

- Two years of experience in data-related development or analysis 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 techniques, including classification, regression, and time-series forecasting

- Experience with software and business systems analysis, design, and development - Proficiency with Microsoft Excel, including Visual Basic for Applications Preferred qualifications, capabilities, and skills

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Metro Manila, National Capital Region, Philippines

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Open source at jpmc.fa.oraclecloud.com ↗Read the full description ↓

Posting history

Status in our records: Active
First recorded: Sep 8, 2026

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Job description

Be at the forefront of valuation and risk decision support by building analytics and data tools that stakeholders rely on. You’ll collaborate with quantitative modelers, business partners, and technology teams to deliver well-tested, production-quality solutions. You’ll own projects end-to-end and translate complex needs into clear, actionable outcomes. You’ll help strengthen data governance and reliability while continuously improving tooling and analysis. If you enjoy turning complex data into decision-ready insights, this role is for you.

Job summary
As a Data Scientist in the Mortgage Servicing Rights team, you leverage data science and analytics to support portfolio valuation and risk management. You partner with quantitative modelers, business stakeholders, and technology teams to define requirements and deliver trusted data products and analyses. You develop and improve tools and datasets that strengthen model valuation, back-testing, and decision-making. You manage delivery end-to-end, ensuring outputs are timely, tested, documented, and aligned to governance and security expectations.

Job responsibilities

Assemble, organize, and analyze data using proprietary, industry-standard, and open-source sources and tools
Develop, test, and maintain Python programs and utilities that support valuation modeling workflows
Provide analytical and data management support for the portfolio valuation model and risk management, including data-source access and local implementation support
Gather requirements and implement data analysis tooling into a proprietary analytics platform (Athena ASCode)
Translate business needs into datasets and data models supporting valuation and back-testing
Apply dynamic product development and implementation practices to enhance data solutions
Manage end-to-end project delivery, ensuring quality and timely execution
Support quantitative modelers and business stakeholders with data-driven insights
Ensure adherence to data governance and security standards
Document processes and maintain clear communication with cross-functional teams
Identify opportunities to improve data tools and analytics capabilities

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-related development or analysis roles
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 techniques, including classification, regression, and time-series forecasting
Experience applying generative AI and large language models to business problems, including selecting an appropriate approach
Knowledge of fixed income analytics and financial modeling concepts relevant to valuation and risk work
Strong quantitative and analytical skills with demonstrated critical thinking and problem-solving ability
Ability to translate complex concepts into clear communication for technical and non-technical audiences
Experience with software and business systems analysis, design, and development
Proficiency with Microsoft Excel, including Visual Basic for Applications

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
Familiarity with mortgage loan data and mortgage analytics concepts (for example, prepayment and cash flow modeling)
Experience implementing analytics tools into proprietary platforms such as Athena ASCode
Prior experience in financial services, particularly in mortgage analytics or risk management
Demonstrated ability to manage multiple projects and deliver results under tight deadlines
Strong communication and presentation skills