Senior Quant Analytics & MLOps Engineer (Production AI)

PNC Financial Services Group, Inc.

Tysons (VA)

On-site

USD 86,000 - 173,000

Full time

5 days ago
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Benefits offered by this job

Medical benefits
401(k) with match
Wellness program

Job summary

PNC Financial Services Group, Inc. is seeking a Senior Quantitative Analytics & Model Analyst to join the Data Operations and Machine Learning Operations team. You will design, engineer, deploy, and support scalable AI/ML solutions across the enterprise, collaborating with data scientists, business units, and engineering teams in multiple U.S.

locations including Tyson's Corner, VA. The role emphasizes deploying AI/ML capabilities in production, leveraging OpenShift, cloud platforms (AWS/Azure),

Qualifications

  • Bachelor's degree in CS, IS, Data Science, Engineering, Math, Statistics or related field.
  • Experience deploying ML models and AI solutions in enterprise environments.
  • Experience with Python, R, PySpark and SQL.
  • Experience with CI/CD, Git, Docker, Jenkins, JIRA or Confluence.

Responsibilities

  • Perform advanced quantitative analyses and model development to drive decisions.
  • Analyze and develop new model frameworks for lines of business; refine and monitor models.
  • Monitor, validate, and deploy models; manage version control and documentation.
  • Collaborate with data scientists and engineering teams across prod environments.

Skills

Python
R
PySpark
SQL
Git
Jenkins
Docker
CI/CD
Cloud AWS/Azure
OpenShift
Communication
Team collaboration

Education

Bachelor's degree in CS/IS/Data Science/Engineering/Math/Statistics

Tools

OpenShift Container Platform (OCP)
Git
JIRA
Confluence
Docker

Job description

PNC Financial Services Group, Inc. is seeking a Senior Quantitative Analytics & Model Analyst to join the Data Operations and Machine Learning Operations team. You will design, engineer, deploy, and support scalable AI/ML solutions across the enterprise, collaborating with data scientists, business units, and engineering teams in multiple U.S.

locations including Tyson's Corner, VA. The role emphasizes deploying AI/ML capabilities in production, leveraging OpenShift, cloud platforms (AWS/Azure),

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