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Data Profiling, Data Scientist - Vice President

JPMorganChase

Salary not specified
Oct 3, 2025
New York, NY, US
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JPMorgan Chase Asset and Wealth Management (AWM) is looking to accelerate its data and analytics journey, ensuring the quality, integrity, and security of AWM's data, and leveraging this data to generate insights and drive decision-making.

Requirements

  • Strong technical skills in data science, analytics, and data management, including proficiency in Python, R, SQL, Spark, and cloud data platforms.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and data lineage analysis.
  • Deep subject matter expertise in wealth and asset management, customer, account, and/or related data domains.
  • Experience in strategic or transformational change initiatives.
  • Ability to work in a highly collaborative and intellectually challenging environment.
  • Experience with data quality issue root cause analysis and data product prototype development.
  • Proficiency in cloud platforms and data science tools

Responsibilities

  • Support and lead initiatives including data quality issue root cause analysis, data product prototype development, regulatory inquiries, management requests, data lineage analysis, and other ad hoc projects.
  • Perform deep data profiling and analysis using modern data science tools and environments (e.g., Python, R, SQL, Spark, cloud platforms).
  • Develop and deliver data product prototypes and analytic solutions that address business needs and drive strategic decision-making.
  • Collaborate with business, technology, and control partners to understand requirements, deliver insights, and support regulatory and management requests.
  • Ensure analytic approaches are robust, scalable, and aligned with data governance and compliance standards.
  • Communicate findings, recommendations, and prototypes effectively to technical and non-technical stakeholders.
  • Continuously innovate and advance the data science agenda across AWM.

Other

  • 7+ years of experience in data science, analytics, or related fields within financial services.
  • Proven ability to execute in a matrixed and complex environment with the ability to influence people at all levels of the organization.
  • Excellent communication skills with the ability to convey complex technical concepts to diverse audiences.
  • Willingness and ability to challenge the status quo, think creatively, and problem-solve.
  • Ability to work in a fast-paced environment and operate independently.