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

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
10 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $164k
$117k most similar roles pay here $211k

This listing doesn't post a salary. Most similar roles pay $126,800–$201,839.

Based on 240 similar postings.

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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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

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

As the Data Solutions & Analytics Lead - Securities Services Finance - Sr Associate, you will join the Securities Services Finance Data Solutions & Analytics team to build scalable data applications and centralize critical datasets. You will manage end-to-end project delivery by translating complex business needs into technical requirements, designing data models for large datasets, and automating recurring reports to reduce operational risk. Your daily work involves creating reusable data assets in a data lake environment and identifying opportunities for artificial intelligence and machine learning to improve process efficiency. To succeed, you will utilize tools such as SQL, Python, Tableau, Alteryx, Power BI, or R. You will collaborate across finance, product, operations, and technology teams to solve problems related to reporting, decision-making, and data fragmentation within the securities services and transaction processing domain.

What you'll do

  • Design and develop scalable data models to integrate complex datasets for large-scale analytics.
  • Analyze large datasets using SQL, Python, Tableau, or Alteryx to uncover actionable insights.
  • Automate recurring reports and manual processes to improve operational efficiency and reduce risk.
  • Translate business needs into technical requirements and actionable project delivery plans.
  • Build scalable data applications and products from initial concept through implementation and adoption.
  • Identify and implement artificial intelligence and machine learning use cases to enhance workflows.
  • Centralize key datasets in a data lake to create reusable assets and reduce fragmentation.
  • Establish best practices 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.
  • Proficiency in at least one modern analytics, visualization, or engineering tool such as SQL, Python, Tableau, Power BI, or R.
  • 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 fast-paced environments.
  • Strong communication skills for presenting analysis and recommendations to cross-functional stakeholders.
  • Bachelor’s degree.

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