Jobs at Setpoint

Lead pre-close and post-close operations for asset-backed facilities, manage custody and funding processes, coordinate lender submissions, monitor portfolio collateral and data integrity, partner cross-functionally, drive process improvements and automation using technology and AI tools.

Lead Setpoint's legal function for capital markets technology: advise executives, structure and negotiate complex capital markets, structured finance, and SaaS agreements, support Capital Solutions, build scalable legal processes, and monitor regulatory and industry developments.

The Capital Solutions Manager will drive tech solutions for lenders and borrowers, manage onboarding processes, and ensure the accuracy of the Capital OS application.

The Investment Analyst will analyze investment opportunities, prepare materials for stakeholders, assess performance of investments, and support asset allocation decisions.

Translate originator underwriting guidelines into programmatic review templates, build and maintain automated validation systems, collaborate with engineering to integrate rules into the platform, support securitization reporting, create portfolio analysis reports, and work with clients to implement guideline updates.

Build and lead a sales enablement function: design onboarding, training, playbooks, and tool adoption. Use Gong and win/loss data to codify top-performer behaviors, apply AI to GTM, and define metrics for ramp, certification, and knowledge retention.

Partner with finance leadership and cross-functional teams to build financial models, own reporting and forecasting, prepare board-ready materials, and lead strategic projects. Drive process improvements, streamline operations, and support high-priority initiatives across sales, product, engineering, and operations.

Lead and manage multiple customer implementations end-to-end: define scope, establish milestones, communicate with stakeholders, resolve ambiguity, build client relationships, and analyze and optimize implementation workflows to improve delivery and client experience.

Lead end-to-end third-party loan review engagements for non-QM consumer files: perform loan-level underwriting across income, assets, liabilities, credit and collateral; interpret client scope and investor requirements; make and defend exception decisions; manage client communication, SLAs, escalations, and reporting; identify systemic pool issues and coordinate with operations, product, and compliance.

Own end-to-end third-party review engagements performing loan-level credit review on non-QM consumer files (income, assets, liabilities, credit, collateral). Interpret client scope and investor requirements, make and defend exception decisions, resolve escalations, maintain grading consistency, report findings to clients, manage SLAs and timelines, and coordinate with operations, product, compliance, and leadership.

The Capital Solutions Associate will manage client onboarding, maintain application accuracy, parse legal agreements, and ensure communication between clients and internal teams.

The Capital Solutions Manager will manage client portfolios, translate structured finance needs, oversee data accuracy, and leverage AI workflows.

The Software Engineer will manage customer onboarding, improve processes, oversee multiple projects, and utilize a modern tech stack.

The Software Engineer (Backend) will own product features, enhance developer experience, collaborate on initiatives, and adapt to customer feedback.

Work directly with the CEO as a strategic partner and operator: run executive cadence, drive 2–4 high-priority initiatives, manage OKRs/KPIs and internal communications, triage CEO attention, capture decisions and ensure follow-through, and temporarily lead functions as needed.

Perform high-volume cash reconciliations in NetSuite, research and resolve reconciling items (wires, calls, distributions, fees), prepare and post journal entries with supporting documentation, and support month-end close, audit, and tax requests as capacity allows.

Lead analytics engineering for external data products: design and maintain scalable data pipelines and models using DBT, SQL, and Python; build dashboards; partner with product, engineering, and clients; set technical standards; mentor and grow a team while remaining hands-on.