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ChasePosted 14 days ago

Finance & T/CIO Chief Data Office - Data Science Associate

Full-time
On-site
Mid level
$104K – $140K/yr
Posted 14 days ago

Responsibilities Assist in capturing and documenting metadata and classifiers for critical data, ensuring understanding of impacts on data providers and consumers; Ensure data is machine readable for AI readiness Collaborate with technology and Product Owner team to ensure data sourcing, content and quality meet established requirements Partner with technology teams to capture data sources, formats, and data flows so

Posted
14 days ago
Source
jpmc.fa.oraclecloud.com
Sector
Product

Opens the employer's application page in a new tab

Responsibilities

  • Assist in capturing and documenting metadata and classifiers for critical data, ensuring understanding of impacts on data providers and consumers; Ensure data is machine readable for AI readiness
  • Collaborate with technology and Product Owner team to ensure data sourcing, content and quality meet established requirements
  • Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting
  • Maintain comprehensive documentation of data models, structures, and processes
  • Coordination with Firmwide CDO for evolving Firmwide Risk processes and standards
  • Engage in professional development opportunities to enhance skills and knowledge, supporting overall data strategy initiatives

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
  • Experience in data management, data governance, risk management / analytics or a related field
  • Strong analytical and problem solving skills, with desire to submerge into the detail of a topic, issue or deliverable to understand the underlying concept
  • Ability to work collaboratively with technology and business teams
  • Knowledge of basic SQL or other data querying languages
  • Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud
  • Experience with AI tooling, such as training chat assistants, writing instructions

Preferred

  • Technical knowledge of data management and governance, big data platforms, or data architecture preferred
  • Familiarity with data governance tools and platforms
  • Basic understanding of Traditional Credit products (loans, deposits, cash) and Financial and/or Regulatory reporting processes

Required skills

Amazon Web Services (AWS)Data AnalyticsData ArchitectureData GovernanceData ManagementFinancial ReportingGoogle CloudMicrosoft AzureRegulatory ReportingRisk ManagementSQLTraditional Credit

Full job description

Responsibilities

  • Assist in capturing and documenting metadata and classifiers for critical data, ensuring understanding of impacts on data providers and consumers; Ensure data is machine readable for AI readiness
  • Collaborate with technology and Product Owner team to ensure data sourcing, content and quality meet established requirements
  • Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting
  • Maintain comprehensive documentation of data models, structures, and processes
  • Coordination with Firmwide CDO for evolving Firmwide Risk processes and standards
  • Engage in professional development opportunities to enhance skills and knowledge, supporting overall data strategy initiatives

Preferred

  • Technical knowledge of data management and governance, big data platforms, or data architecture preferred
  • Familiarity with data governance tools and platforms
  • Basic understanding of Traditional Credit products (loans, deposits, cash) and Financial and/or Regulatory reporting processes

Benefits

  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • A retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
  • Glassdoor
  • 3.8
  • Retail and commercial banking, lending, and investment services.
  • New York, New York, USA
  • https://www.chase.com/
  • Late Stage
  • Leadership Team
  • Mike McDonnell
  • Managing Director, Head of Chase Travel Platform Product
  • Nicole Sanchez
  • Managing Director, Consumer Bank, General Manager, Growth Financial Products
  • Recent News
  • PR Newswire
  • MORE TO LOVE FROM RAPID REWARDS: SOUTHWEST AIRLINES EXPANDS REWARDS, REDEMPTION, AND MEMBER BENEFITS
  • 2026-10-17
  • StreetInsider.com
  • Southwest Airlines to overhaul Rapid Rewards with new tiers and partners
  • Paypers
  • Chase streams AI scam prevention event to 700 branches across the US
  • Company data provided by
  • AI Tools
  • Customize Your Resume

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
  • Experience in data management, data governance, risk management / analytics or a related field
  • Strong analytical and problem solving skills, with desire to submerge into the detail of a topic, issue or deliverable to understand the underlying concept
  • Ability to work collaboratively with technology and business teams
  • Knowledge of basic SQL or other data querying languages
  • Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud
  • Experience with AI tooling, such as training chat assistants, writing instructions
  • Technical knowledge of data management and governance, big data platforms, or data architecture preferred
  • Familiarity with data governance tools and platforms
  • Basic understanding of Traditional Credit products (loans, deposits, cash) and Financial and/or Regulatory reporting processes

Required skills

  • Amazon Web Services (AWS), Data Analytics, Data Architecture, Data Governance, Data Management, Financial Reporting, Google Cloud, Microsoft Azure, Regulatory Reporting, Risk Management, SQL, Traditional Credit

Preferred skills

  • Familiarity with data governance tools and platforms

Experience

  • Mid level

Job details

Employment type

Full-time

Seniority level

Mid level

Sector · Sub-sector

Product · Product Management

Date posted

Oct 30, 2026

Work mode

On-site

Job source

jpmc.fa.oraclecloud.com

Company

  • New York, NY
  • Product

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Finance & T/CIO Chief Data Office - Data Science Associate

Chase · $104K – $140K/yr

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