Machine Learning/Model Monitoring Analyst

Company: eRichards Consulting
Location: Boston, Massachusetts, United States
Type: Full-time
Posted: 09.AUG.2021

Summary

Our excellent client is in search of a Machine Learning/Model Monitoring Analyst who will work in cross-functional teams collaborating with ...

Description

Our excellent client is in search of a Machine Learning/Model Monitoring Analyst who will work in cross-functional teams collaborating with subject matter experts across the enterprise.

Role:

  • Evaluate both internal and external model monitoring tools against our model monitoring strategy
  • Be a SME of the model monitoring capability within AI Governance team
  • Conduct model monitoring for both internal and 3 rd party machine learning/AI models using open-source programming language ex. Python/R
  • Contribute to creation and continuous improvement of the model monitoring standards and controls
  • Contribute to improvement of our model monitoring strategy
  • Creating and aggregating risk and performance metrics to demonstrate risk and performance management.
  • Management - Define how to leverage tools and implement.
  • Project management - work with teams and project managers to deliver enhanced functionality and resolve issues.
  • Managing requests for information from clients, auditors and internal stakeholders.

MINIMUM QUALIFICATIONS

  • 7+ years of software engineering with QA background
  • At least 3+ years of Machine learning experience including monitoring and improving model management and master/reference data management within the Financial Services industry
  • Strong knowledge of AI/Machine Learning/Model Governance frameworks and industry practices
  • Strong leadership and organizational awareness with ability to facilitate and resolve conflicts
  • Strong written and oral communication skills to motivate and influence staff and customers
  • Strong understanding of model management concepts, principles, and practices
  • Deep familiarity with policy/standards development and management practices
  • Exceptional analytical, conceptual and problem-solving abilities

PREFERRED QUALIFICATIONS

  • Experience with Agile software development
  • Experience with building Data Science models and deploying them into production
  • Experience with model monitoring frameworks
  • Experience with model building tools languages such as github, containers, python, R
  • A mastery of techniques on how models are built and should be measured
  • Sound experience with, and knowledge of the 3 lines of defense
  • Sound knowledge and proficiency in the use of various GRC tools such as Archer
  • Mid-Senior level competency in regulatory compliance, risk and issue management; to include controls assurance and controls design
- provided by Dice

 
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