Quant Analytics Senior Associate

JPMorgan Chase

Quick summary

Work type: On-site
Location: New York, NY
Salary: $104,500–$150,000 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $154k

This role $127k

$95k most similar roles pay here $196k

This role pays less than 68% of similar roles. Most pay $122,443–$186,375 — the shaded band above. At the midpoint, this role pays about $127k versus about $154k for comparable roles.

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 510 open roles on FindRole.

Listed pay typically runs $147,250–$205,000 across 269 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Quant Analytics Senior Associate

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The Quant Analytics Senior Associate role at JPMorganChase’s Product Strategy Team within Connected Commerce Data & Analytics involves shaping the future of commercial transactions through data-driven solutions. Day-to-day responsibilities include participating in data science projects, designing and implementing complex analytical solutions, developing scalable data pipelines using cloud technologies like Snowflake and AWS, and communicating insights effectively to diverse stakeholders. The ideal candidate will have a background in quantitative fields such as Statistics or Computer Science, with experience in financial services analytics roles and proficiency in tools like Python, SQL, and Tableau. This role requires strong problem-solving skills, the ability to work independently and collaboratively, and a passion for leveraging advanced technologies to address complex business challenges within a fast-paced environment.

Skills

Python SQL Snowflake AWS Tableau Spark Unix Excel Pivot Gen AI LLM calling Prompt engineering CI/CD Cloud-based technologies Big data environment

What you'll do

Design and implement complex analytical solutions end-to-end with minimal guidance.
Develop robust data pipelines using cloud-based technologies like Snowflake, AWS, and Tableau.
Generate actionable insights from structured and unstructured data to influence business decisions.
Present findings and recommendations effectively to both technical and non-technical audiences.
Manage priorities and timelines for analytics projects to meet commitments and deliver results.

What we're looking for

BS/BA in a quantitative field with 2+ years of financial services industry experience in business analytics roles.
2+ years of work experience using SQL, Spark, Python, Snowflake, AWS, Tableau, Unix, Excel Pivot in big data environments.
Exceptional communication skills to convey complex information clearly to both technical and non-technical stakeholders.
Strong critical thinking and problem-solving abilities with a focus on addressing unstructured business problems quantitatively.
Experience developing scalable data pipelines and analytics frameworks using cloud-based technologies and programming languages.
Ability to collaborate effectively in a dynamic, cross-functional environment while managing priorities independently.

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