Machine learning/ Model monitoring analyst

Company: Rose International
Location: Home, Kansas, United States
Type: Full-time
Posted: 12.AUG.2021


**s and those authorized to work in the U.S. can be considered as W2 candidates.** Title: Machine learning/Model monitoring analyst Start Da...


**s and those authorized to work in the U.S. can be considered as W2 candidates.**
Title: Machine learning/Model monitoring analyst
Start Date: 07/12/2021
End Date: 07/11/2022
Location: Remote
We recognize the importance of an Enterprise Privacy, Data and AI Governance program and we are looking for a skilled and highly motivated individual with model governance background to join this Enterprise Privacy, Data and AI Governance team within the Enterprise Technology Experience organization. The team embodies a culture of working collaboratively, cross-functionally, and using new technologies all in support of a culture of innovation and collaboration.
•Conducts model monitoring and model risk governance across lines of business
•Ability to conduct model ongoing monitoring using open-source frameworks
•Develop and maintain documentation, work papers and professional reports of validation results
•Develops and applies model quality assessment and approval criteria to ensure the integrity of inputs & outputs, performance monitoring and reporting
•Communicates findings from validation work to management and stakeholders, including recommendations as appropriate
•Apply numerical, statistical, and qualitative knowledge and skills to perform model validation
•Document model validation procedures and findings, coordinate with stakeholders to resolve issues
•Summarize and present model validation results and findings to senior leadership
•Strong understanding of QA within software technologies/apps
•Understanding of governing machine learning Models.
•In depth understanding of ML Model lifecycle
•Understanding of the development tools and applications used in AI and ML.
•Stay up-to-date and informed on emerging practices for improving algorithm and AI governance practices.
•A good understanding and strong knowledge in top ML algorithms including metrics used for monitoring them

•In addition to deep understanding of AI/Machine learning and their governance, strong communication and influencing skills are necessary in this role.Our goal is to create a team of innovative, high-performing, collaborative, and resourceful people who like to think big, test ideas, and are dedicated to their ideas to see programs through from conception to delivery. This role is based out of our Boston, MA office and will work in cross-functional teams collaborating with subject matter experts across the enterprise.
Machine learning/Model Monitoring
•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 3rd 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 and/ 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

Required Skills:
•Controls Design
•Data Management
•Financial Services
Additional Skills:
•Issue Management
•Machine Learning
•Maintain Documentation
•Project Management
•Quality Assessment
•Reference Data
•Regulatory Compliance
•Software Engineering
•B2B Software
•Data Science
•Software Development
•Structured Software
•Subject Matter Expert
•English, Read, Write, Speak
Minimum Degree Required:
•Bachelor''s Degree - provided by Dice

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