Compliance-Salt Lake City-Analyst-Regulatory Compliance

Responsibilities

• Identify Opportunities: Partner with compliance officers to identify operational processes that would benefit from AI and automation solutions.
• Solution Delivery: Support the implementation of selected AI solutions from concept through configuration, testing, and operationalization.
• Cross-Functional Collaboration: Partner with internal AI engineering and product communities to identify scalable opportunities across the division.
• Metrics & Reporting: Build data collection frameworks, run the reporting cadence, and flag trends or anomalies on critical AI adoption metrics.
• Market Intelligence: Benchmark industry AI practices, tooling, and regulatory changes; distill findings into short briefings on what to pilot, watch, or ignore.
• Roadmap Input: Help articulate Compliance-specific requirements for prioritization in firmwide AI tool roadmaps.
• Knowledge Management: Curate and maintain Compliance AI knowledge repositories to ensure easy user access to the latest information and learning tools.
• Upskilling & Training: Support the role-relevant AI training curriculum and future skills assessments; serve as an approachable first point of contact for colleagues experimenting with AI.
• Engagement Initiatives: Develop ideas and help execute high-impact recognition initiatives (e.g., Prompt-a-thons, Innovation Awards).

Qualifications

• Required Education: Bachelor's degree in Business, Finance, Computer Engineering/Science, or a related field.
• Required Experience: 1–3 years of professional experience in Product Management, Project/Program Management, or Management Consulting (highly motivated recent graduates will also be considered).
• Location: Salt Lake City, Utah (on-site).
• AI Interest: Demonstrable interest in AI and automation, with an appetite to build hands-on fluency with end-user AI tools and prompt design.
• Technical Skills: Strong PowerPoint and Excel skills, with the ability to produce clear, executive-ready materials.
• Communication: Ability to communicate with impact (written and verbal), tailoring messaging to engineering teams, end users, and senior leadership.
• Execution: Exceptional time management and prioritization skills, with the ability to coordinate concurrent activities.
• Agility: Flexibility to move between workstreams as priorities shift; comfortable being deployed where the need is greatest.
• Mindset: Persistent, resourceful, and a tenacious self-starter with intellectual curiosity and strong critical thinking skills under pressure.
• Collaboration: Ability to cultivate long-term relationships, build consensus, and influence without direct authority.
• PREFERRED: Hands-on exposure to AI or automation tools (e.g., prompt engineering, machine learning applications, Alteryx).
• PREFERRED: Awareness of AI governance, model risk, or emerging AI regulations (e.g., the EU AI Act).
• PREFERRED: Exposure to process improvement, re-engineering, or process mapping.
• PREFERRED: Experience contributing to business cases, benefits analyses, or ROI articulation.
• PREFERRED: Experience with agile project delivery methods and tools (e.g., JIRA).
• PREFERRED: Data analysis and visualization experience.
• PREFERRED: Working knowledge of financial markets, products, and control/risk functions.

About the role

The Enterprise Compliance Office – Optimization (ECO-Optimization) modernizes the Compliance target operating model across people, process, and technology, accelerating the division's transition to an AI-forward workforce. We identify and prioritize opportunities, develop and execute business-specific solutions, and manage delivery to measurable results — driving product and process efficiencies, risk recalibration, and cultural innovation. Our AI and innovation strategy spans governance and risk, optimization capability and scale, and culture and upskilling.