Senior Associate Quant Analytics, Point of Sales Capabilities

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Wilmington, DE
Posted: 46 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $158k

$117k most similar roles pay here $196k

This listing doesn't post a salary. Most similar roles pay $127,862–$187,312.

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 · Senior Associate Quant Analytics, Point of Sales Capabilities

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As a Quant Analytics Senior Associate - Point of Sales Capabilities, you will join the Point of Sale Capabilities team to combat plastics fraud through innovative analytics and modernized authorization platforms. You will manage the full lifecycle of point of sale transactions, building and maintaining capabilities for fraud decisioning rules, data models, KPI monitoring, and automated reporting systems. Collaborating with cross-functional partners like the Risk Modeling team, you will advance machine learning models by identifying new variables and improving update cycles. Your daily work involves performing data mining, ensuring data integrity, and translating complex datasets into actionable management information. To succeed, you must possess an advanced understanding of SAS, SQL, and Python to query large amounts of data. You will also provide clear communication on risk dynamics and trends while leading large-scale projects to improve fraud prevention techniques.

Skills

Python SQL SAS Machine Learning Big Data Data Mining Risk Management KPI Monitoring Reporting Data Automation Analytics Project Management

What you'll do

Analyze the full lifecycle of point of sale transactions to identify and execute improvement opportunities.
Build and maintain capabilities for fraud decisioning rules, data models, KPI monitoring, and reporting systems.
Advance machine learning models by improving modeling techniques and identifying new variables.
Perform data mining and ensure data integrity to synthesize findings for senior management.
Translate complex data into concise conclusions regarding risk dynamics, trends, and opportunities.
Develop automated data systems and improve internal analytical techniques.
Lead large-scale projects to modernize authorization platforms and fraud prevention technologies.

What we're looking for

MS degree with 5+ years of Risk Management or other quantitative experience.
Advanced understanding of SAS, SQL, and Python.
Proven ability to query large amounts of data and transform raw data into actionable management information.
Excellent collaboration and partnership skills with a proven track record of working well with internal teams and external partners.
Proven track record in solving business problems or project management skills with a structured approach to meet tight timelines.
Strong communication and interpersonal skills to interact with various departments and senior-level executives.
Strong analytical and problem-solving abilities (preferred).
Experience delivering recommendations to management, familiarity with risk analytic techniques, and experience supporting multiple CCB functions (preferred).

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