JPMorganChase Logo

JPMorganChase

Data Scientist

Reposted 8 Hours Ago
Remote or Hybrid
Hiring Remotely in Metro Manila
Junior
Remote or Hybrid
Hiring Remotely in Metro Manila
Junior
Support mortgage servicing rights valuation and risk by designing, building, and delivering data-driven tools and analyses. Own end-to-end projects, manage data access and governance, develop Python utilities, implement analytical tooling into a proprietary platform, and communicate decision-ready insights to modelers and stakeholders.
The summary above was generated by AI

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:
 

  • 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
  • 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
  • Apply modern product delivery practices to improve solution usability, reliability, and reuse
  • Manage projects end-to-end, including scope, milestones, dependencies, and execution quality
  • Deliver data-driven insights and analytical support to quantitative modelers and business stakeholders
  • Ensure adherence to data governance, security standards, and documentation expectations
  • Document processes, definitions, and assumptions to enable repeatable analysis and audit-ready outputs
  • Identify and implement opportunities to improve data tools, automation, 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-focused development or analytics 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 methods, including classification, regression, and time-series forecasting
  • Knowledge of fixed income analytics and financial modeling concepts relevant to valuation and risk work
  • Experience applying generative artificial intelligence methods to business problems, including selecting an appropriate approach
  • Ability to translate complex concepts into clear, decision-ready communication for varied audiences
  • Strong software and systems analysis skills, including requirements translation and solution design
  • Ability to manage multiple deliverables with strong attention to detail and execution discipline
  • Ability to work independently and collaboratively in a fast-paced environment

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 common mortgage analytics concepts (for example, prepayment and cash flow modeling)
  • Experience integrating analytics tools into proprietary platforms used for valuation or risk workflows
  • Experience in financial services, particularly mortgage analytics or risk management
  • Demonstrated ability to deliver results under tight timelines while maintaining quality
  • Strong presentation skills for communicating insights and recommendations to stakeholders

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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. Visit our FAQs for more information about requesting an accommodation.

About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Similar Jobs

15 Days Ago
In-Office or Remote
Georgia, USA
Junior
Junior
News + Entertainment
Develop audience segments, customer profiles, and predictive models using behavioral, transactional, viewing, and digital data. Apply statistical and machine learning methods for clustering, churn, propensity, content affinity, and customer value analysis. Conduct exploratory analysis, evaluate models, support campaign measurement, and translate findings into business recommendations. Collaborate with Marketing, Product, Media Sales, and Content teams while presenting insights to technical and non-technical stakeholders.
Top Skills: Amazon QuicksightAmazon RedshiftSparkAWSAzureDatabricksHadoopJavaPower BIPythonRScalaSnowflakeSQLTableau
One Month Ago
In-Office or Remote
Mid level
Mid level
Information Technology • Insurance • Professional Services • Consulting
Design and implement IDP and AI solutions for claims by preparing and transforming data, labeling training datasets, applying NLP/OCR, and building evaluation and monitoring frameworks. Collaborate with stakeholders, engineers, and modelers to deliver automated document extraction, data enrichment, and predictive analytics.
Top Skills: Ai/MlCloudGenerative AiGitImage AnalyticsIntelligent Document Processing (Idp)NlpOcrPythonSQLSQL Server
One Month Ago
In-Office or Remote
Georgia, USA
Entry level
Entry level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Six-month junior fixed-term role to design and develop LLM-based agents for Web3 scenarios, build token research and summarization agents, assist in trading agent development using market and on-chain data, and experiment with prompt engineering, memory, and multi-agent orchestration and evaluation.
Top Skills: Agent OrchestrationLangchainLanggraphLlamaindexMarket DataOn-Chain DataPrompt EngineeringPythonRagVector Databases

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account