AVP, Digital Enablement

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness , act with integrity , and are driven to help our clients succeed . We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

- 5+ years of experience in financial services with meaningful exposure to supervision, compliance, model risk management, or regulatory operations.

- Bachelor's degree in Business, Finance, Data Analytics, or a related field required.

- Experience supporting or managing analytical or AI model lifecycles within a financial services or similarly regulated environment - including monitoring validation and change management activities.

- Working knowledge of FINRA, SEC, and NASAA regulatory frameworks as they relate to supervisory obligations and first-line control environments.

- Experience collaborating across compliance, technology, and operations functions, with the ability to translate technical model concepts for non-technical supervisory audiences.

- Proficiency in Microsoft Word, Excel, PowerPoint, experience with data visualization tools, query languages (SQL), or model monitoring platforms strongly preferred.

- Analytical and critical-thinking skills, with the ability to identify patterns in model performance data, diagnose root causes, and develop well-reasoned, actionable recommendations.

- Written and verbal communication skills, with experience preparing concise, professional reports and presenting findings to management-level stakeholders.

- Organized and detail-oriented, with the ability to manage multiple concurrent model workstreams with accuracy and professionalism.

- A genuine intellectual curiosity about AI, machine learning, and the application of emerging technologies to regulatory and supervisory challenges.

- FINRA Series 7; willingness and eligibility to obtain required upon hire.