Analyst, AI Risk Management

Lincoln Financial•Radnor, PA

2d•$72,900 - $131,600•Hybrid

About The Position

This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex risks associated with AI systems. The role will provide subject matter expertise to ensure AI systems are governed with rigor, including conducting bias testing, impact assessments, and continuous monitoring of production systems. You will translate governance policy into demonstrable, evidenced risk outcomes.

Requirements

4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's)
3 – 5+ Years experience in in AI/ML risk management, model risk, data science, or a related quantitative filed that directly aligns with the specific responsibilities for this position.

Responsibilities

Designs and documents AI risk controls for AI systems to directly protect consumers.
Conducts bias testing and impact assessments using more complex methodologies appropriate to system risk levels.
Contributes to the development and refinement of AI governance practices for emerging capabilities by researching industry trends and sharing insights.
Partners with technology teams to implement API integrations and data flows that enable AI system monitoring and validation processes.
Monitors AI systems in production, coordinating with system owners to review outputs, track performance, and identify potential risks or anomalies.
Analyzes risk and monitoring data to identify trends and support identification of potential areas for remediation or governance focus.
Maintains data quality within AI system inventory and governance tracking tools, partnering with system owners to ensure completeness and accuracy.
Prepares and contributes to risk reporting, dashboards, and governance materials; translates technical findings into clear summaries for stakeholders.
Partners with business and technology teams to review and validate AI risk assessments and supporting control evidence in alignment with governance standards.
Supports development and tracking of remediation plans for identified issues in partnership with stakeholders.
Collaborates with Legal, InfoSec, Privacy, Model Risk Management, and AI/ML Engineering teams to align governance activities with enterprise risk management expectations.