Data Solutions & Analytics Lead, Securities Services Finance, Senior Associate

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJNew York, NY
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $161k
$119k $203k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$195,137.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Data Solutions & Analytics Lead, Securities Services Finance, Senior Associate

The Data Solutions & Analytics Lead - Securities Services Finance - Sr Associate joins the Securities Services Finance Data Solutions & Analytics team to build scalable data applications and centralize critical datasets. This role involves designing data models, automating recurring reports, and developing reusable data assets within a data lake environment to reduce manual effort and fragmentation. You will translate business needs into actionable delivery plans, managing end-to-end project execution from requirements gathering to production. Key responsibilities include identifying artificial intelligence and machine learning use cases to improve process efficiency. You will utilize tools such as SQL, Python, Tableau, Alteryx, Power BI, and R to analyze large, complex datasets. The work focuses on modernizing information access and improving decision-making across finance, product, operations, and technology functions.

What you'll do

  • Design and develop data models that integrate complex datasets to enable analytics at scale.
  • Analyze large datasets using SQL, Python, and visualization tools to uncover actionable insights.
  • Automate recurring reports and manual processes to improve operational efficiency and reduce risk.
  • Lead end-to-end project delivery from initial requirements gathering to final implementation and adoption.
  • Translate business needs into clear requirements documents and actionable delivery plans.
  • Build scalable data applications and reusable data assets within a data lake environment.
  • Identify and initiate artificial intelligence and machine learning use cases to enhance workflows.
  • Establish and promote standards for analytics, documentation, and solution delivery across the organization.

What we're looking for

  • At least four years of experience in data analytics, product development, or project management (financial services preferred).
  • Hands-on proficiency with at least one modern analytics, visualization, or engineering tool such as SQL, Python, Tableau, Power BI, or R.
  • Demonstrated experience working with large, complex datasets and building data models.
  • Proven ability to deliver outcomes independently with strong ownership and follow-through.
  • Strong problem-solving skills with a logical, structured approach to planning and decision-making.
  • Demonstrated project execution skills, including writing requirements and managing delivery in a fast-paced environment.
  • Strong communication skills, including presenting analysis and recommendations to cross-functional stakeholders.
  • Bachelor’s degree.

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