Risk Management, Risk Architecture

JPMorgan Chase

Quick summary

Work type
On-site
Location
OH
Posted
10 days ago

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Salary context

How this pay compares to similar roles

Similar $184k
$134k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $155,361–$212,175.

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 368 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 198 roles with salary data.

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At a glance

TL;DR · Risk Management, Risk Architecture

Join JP Morgan Chase's Risk Management and Compliance team as a senior data architect, where you'll lead the development and optimization of customer analytical data products. Your day-to-day will involve working with stakeholders to develop requirements, conducting requirement grooming sessions, executing UAT test cases, and managing metadata and lineage reports. You’ll also play a key role in the cloud journey on AWS and DataBricks, ensuring seamless handoffs to operational support teams. Expertise in SQL, Unix, Hadoop/Hive, and Agile methodologies is essential, along with experience in developing web interfaces and data quality monitoring processes. Knowledge of banking data and concepts, coupled with strong skills in manipulating large datasets under tight deadlines, will be crucial as you contribute to the team’s mission of delivering best-in-class solutions at scale.

What you'll do

  • Develop and execute UAT test cases for data products.
  • Conduct requirement grooming sessions with development teams.
  • Research and remediate issues in existing attributes.
  • Create metadata and lineage reports for data products.
  • Lead UAT efforts during cloud migration to AWS and DataBricks.

What we're looking for

  • Expertise in SQL, Unix, and Hadoop/Hive with extensive data analysis experience.
  • Proficient in developing process flows, documenting metadata, and creating lineage reports.
  • Experience managing high-impact teams of product analysts and leading UAT efforts on AWS.
  • Degree in a quantitative field such as Computer Science or Statistics.
  • Certified AWS practitioner with knowledge of AWS tools like AAAS and DataBricks.
  • Strong understanding of banking data concepts and ability to work under tight deadlines.

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