Quant Analytics Senior Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $166k
$110k $215k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $132,487–$200,400.

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 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 · Quant Analytics Senior Associate

JOB TITLE: Service Product Analytics Team - Quant Analytics Senior Associate As a Quant Analytics Senior Associate within the Service Product Analytics Team, you will lead initiatives to improve customer and product experiences while reducing operating expenses for Ops Product Groups. You will manage the full analytics lifecycle, including documenting data lineage, scoping analysis, developing hypotheses, and delivering executive presentations. Your daily work involves analyzing customer interactions across calls, branches, online, and mobile channels to identify friction points and construct test designs. You will build automated data solutions and dashboards using SQL, R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, and Trifacta. The role requires applying statistical modeling, machine learning, and data mining within an Agile framework to solve complex problems involving customer, account, digital, telephony, financial, and operational data.

What you'll do

  • Lead the development and reporting of operational performance metrics and KPIs using trend analysis and optimization techniques.
  • Analyze customer interactions across multiple channels to identify friction points and inform future customer strategies.
  • Prepare and deliver presentations summarizing sharp insights and conclusions for executive-level meetings.
  • Create dashboards and visualizations to measure product impact and provide management with self-service reporting tools.
  • Build and update business cases and exploratory analyses to identify product enhancement opportunities.
  • Develop automated data solutions by integrating customer, account, digital, telephony, and financial data.
  • Document data lineage and manage all phases of the analytics lifecycle from scoping to hypothesis development.

What we're looking for

  • Bachelor's degree in a quantitative or related field.
  • 5+ years of related experience.
  • Proficiency in SQL for data querying and manipulation.
  • Hands-on experience with data analytics tools including R, Python, Tableau, Alteryx, Hadoop, Hive, Spark, Impala, Sqoop, RDBMS, and Trifacta.
  • Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
  • Hands-on experience writing code and automating processes to source, transform, and analyze data from multiple sources preferred.
  • Familiarity with AWS, data mining, statistical modeling, machine learning, and other advanced analytics methods.
  • Graduate degree in a related field preferred.

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