Senior Analyst, Model Risk
Location
United States
Posted
2 days ago
Salary
$96.1K - $135.7K / year
Seniority
Senior
Job Description
Senior Analyst, Model Risk
Empower
• Identify, assess, and manage model risks associated with machine learning, generative AI, advanced analytics, and emerging technologies • Support the Director, Technology Risk by executing risk assessments, performing independent review and challenge, and partnering with technology, data science, product, engineering, and business teams • Partner with second-line enterprise risk and application teams to define, document, and build machine learning and AI model governance policies, processes, controls, and governance tools • Execute model risk assessments for machine learning, generative AI, and advanced analytics solutions across the design, development, deployment, and monitoring phases • Perform independent risk review and challenge of AI and machine learning models, including data sourcing, training approaches, validation methods, and ongoing performance monitoring • Support the establishment and ongoing execution of AI and machine learning model risk governance, standards, and control frameworks in alignment with the Enterprise Risk Appetite Framework • Partner with engineering, data science, product, and business teams to identify risks and embed effective controls into AI and machine learning systems and processes • Assess and support the management of third-party and vendor model risks associated with AI platforms, tools, models, and data sources • Prepare clear and concise model risk documentation, assessments, and recommendations for review by the Senior Manager and risk governance forums • Monitor emerging regulatory guidance, industry standards, and best practices related to AI, model risk, and responsible AI • Contribute to model risk metrics, reporting, and materials presented to leadership, risk committees, and second-line partners • Exercise independent judgment when conducting model, technology, and AI and machine learning risk assessments within established frameworks • Provide risk recommendations, control feedback, and issue identification to the Director, Technology Risk • Escalate significant risks, control gaps, or issues in accordance with defined risk thresholds • Contribute analysis and recommendations related to risk acceptances without holding formal approval authority
Job Requirements
- Deep hands-on expertise in models, technology, and AI and machine learning risk
- Strong analytical judgment
- The ability to translate complex technical risks into clear, actionable insights
Benefits
- Medical, dental, vision and life insurance
- Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
- Tuition reimbursement up to $5,250/year
- Business-casual environment that includes the option to wear jeans
- Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
- Paid volunteer time — 16 hours per calendar year
- Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
- Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.
Related Guides
Related Categories
Related Job Pages
More Risk Jobs
Manager, Governance Risk Reporting
SoftchoiceBased in Toronto, Canada, Softchoice is a privately held information technology and services company specializing in advanced solution design, consulting, and d
Role Description As Manager, Governance, Risk & Reporting within Managed Services, you will be the organizational authority on two fronts: governance, risk, and compliance program integrity, and the reporting, data analytics, and strategic-insights function that informs how the business decides. Your work will directly protect Managed Services revenue, reduce risk exposure, ensure vendor partner compliance, and equip leadership with the data visibility and predictive intelligence needed to make high-quality strategic decisions. You will build two functions that others depend on: - A disciplined governance and risk practice that protects the business. - A reporting and analytics capability that surfaces truth through data and turns insight into strategic action. In your hands, both governance and analytics become strategic organizational capabilities that scale with organizational growth. What you'll do: - Own and govern the end-to-end lifecycle of all Managed Services audit programs, including planning, execution, evidence management, remediation tracking, and program close-out. - Lead monthly, quarterly, and annual GRC reviews, maintaining audit calendars, accountability frameworks, and risk escalation protocols across the program portfolio. - Manage OEM and vendor MSP audit programs for Microsoft, Cisco, Google, VMware, AWS, Lenovo, and other partners, serving as the primary accountability owner for all milestones and deliverables. - Lead the Managed Services reporting and analytics function — designing and maintaining executive dashboards, KPI tracking, and data pipelines that deliver visibility into audit health, compliance status, and broader operational performance. - Extract insight from audit, compliance, and operational data and translate it into strategic narratives for executive and senior leadership, enabling informed decisions on revenue, risk, investment, and growth. - Drive strategic prioritization of audit workstreams as a revenue-protection lever, quantifying the financial impact of compliance performance and program gaps. - Publish quarterly audit schedules, program costs, membership requirements, and risk frameworks to corporate stakeholders. - Partner with Business Intelligence, Finance, and Operations teams to integrate audit data into broader organizational reporting and planning processes. - Implement AI-enabled automation and workflow improvements to streamline audit tracking, evidence collection, and compliance reporting. - Maintain intranet content with current audit health and status reports, ensuring stakeholders have reliable, timely access to program information. - Lead cross-functional teams and influence stakeholders across Services, Business Development, Sales, Technical Pre-Sales, and Solution Development to deliver audit outcomes. - Participate in corporate ISO, SOC, BPML, BCP, and DR audit planning and evidence-gathering initiatives. Qualifications - Post-Secondary Degree or Diploma in Business, Information Technology, or a related discipline. - 10+ years of IT or professional services experience, with demonstrated senior leadership in audit management, governance, or program delivery. - PMP®, PgMP®, or equivalent program/project management certification required. - Membership in the Institute of Internal Auditors (IIA) or ISACA preferred. - Deep experience in audit governance, GRC frameworks, multi-vendor MSP audits, and evidence management. - Proficiency with enterprise BI tools (Power BI or equivalent) for building executive-facing dashboards and KPI frameworks. - Experience with ServiceNow PPM, Jira, or equivalent platforms for program and resource management. - Exceptional written and verbal communication skills, with a proven ability to align multiple senior stakeholders toward a common goal. - Process improvement, data analytics, and project management skills and experience. - People leadership and/or management experience considered an asset. Compensation - A reasonable estimate of the current base pay range for this position in Texas and Illinois is $116,800 to $146,000 annually + 14% as target incentives. - A reasonable estimate of the current base pay range for this position in Florida and Colorado is $110,960 to $138,700 annually + 14% as target incentives. - Actual salary will be based on a variety of factors, including location, experience, skill set, education, and related certification. The range for this position in other geographic locations may differ. Benefits - Health and Wellbeing: Medical, Dental, and Vision Care, Flexible Spending Account, Employee Assistance Program. - Financial Benefits: 401k Plan with Company Matching, Life and Disability Insurance. - Paid Time Off: PTO and Sick Leave (starting at 20 days per year), Holidays, Parental Leave, Volunteer Days, Bereavement Leave. - Additional Perks: Employee Discount Program.
• The course examines the nature of danger and disasters, the scope of the human vulnerability and responses to them. • It will look at risk and damaging events associated with extreme natural forces, technological accidents, epidemic diseases and human conflict.
• Own and evolve the global brand governance framework: brand architecture rules, co-branding and partnership guidelines, sub-brand and endorsement policies, and decision-rights models (RACI) across regions and business units • Partner with Legal/IP on trademark strategy, brand protection, licensing, and infringement response across global markets • Serve as a lead representative and liaison to the GE Aerospace Brand Governance team and deliver on sub licensee reporting requirements • Assure compliance with the TMLA (trademark license agreement) • Govern brand use in high-stakes contexts: M&A integration, divestiture rebranding, joint ventures, sponsorships • Lead the global brand operations function: digital asset management (DAM), brand portal/design system, templates, and self-service tooling • Define and manage brand technology roadmap, including AI-enabled content creation guardrails • Build and run intake, workflow, and approval processes for brand reviews; establish SLAs that balance rigor with business velocity • Manage brand health and compliance measurement: audits, scorecards, and KPIs that quantify consistency, adoption, and brand equity impact
• The Data Governance Senior Professional Intern will report to the Director of Data Governance. • You will apply your training, experience and previously acquired skills to focus on Data Quality. • Research enterprise data governance frameworks, standards, policies, and existing internal practices to inform the development of a foundational Data Governance Implementation Guide. • Support the creation and documentation of a practical implementation approach that guides business areas through required data governance activities for new business initiatives. • Help define how business areas should identify, document, classify, manage, and govern data throughout the planning, design, implementation, and operational phases of new business work. • Partner with Enterprise Data Governance leadership to translate governance requirements into clear guidance, checklists, templates, decision points, and adoption steps. • Collaborate with business and technology stakeholders to understand operational needs, current-state practices, and areas where additional governance rigor is needed. • Support alignment of the implementation guide with enterprise architecture, data management, data quality, data stewardship, data dictionary, data sensitivity, metadata, and data flow documentation expectations. • Document roles and responsibilities for business areas, data owners, data stewards, technology partners, and governance stakeholders involved in implementing data governance requirements. • Assist in defining repeatable processes for applying data governance to new business, including intake, assessment, documentation, approvals, issue escalation, and ongoing monitoring. • Support the development of communication, education, and roll-out materials to help business areas adopt the Data Governance Implementation Guide. • Participate in stakeholder review sessions, gather feedback, document decisions, and incorporate updates into the implementation guide and supporting materials. • Help identify opportunities to improve consistency, transparency, and accountability in how data governance requirements are embedded into business operations and technology delivery. • Support the establishment of adoption metrics, progress tracking, and reporting mechanisms to monitor implementation of data governance practices across business areas. • Contribute to process improvement by helping teams understand how strong governance practices support reliable data, informed decision-making, operational performance, compliance expectations, and reduced business risk.



