Top Fintech Jobs in Denver & Boulder, CO

Prepare, review, and compile client SEC EDGAR filings; research required data; ensure documents meet SEC form requirements and formats; follow workflows; ready filings for electronic submission via DFIN tools; support related projects and team communications.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

Develop, maintain, and update policies, procedures, and member-facing disclosures to ensure regulatory compliance and clarity. Partner with compliance, legal, risk, and business stakeholders, conduct gap analyses and document reviews, manage version control and publication, and maintain audit-ready centralized repositories under tight timelines.

The Senior Software Engineer will lead the development of payment systems, oversee key subsystems, mentor engineers, and ensure high-quality code and architectural standards while collaborating with cross-functional teams.

Design, prototype, deploy, and iterate AI-driven agentic service workflows that balance automation, human-in-the-loop controls, and compliance. Partner with engineering, CX, Legal, and Data to define orchestration, evaluation, and ROI, strengthen governance and quality, and scale production systems that improve customer outcomes and operational efficiency.

Lead and deliver vulnerability management and security operations programs across security, AIT, R&D, infrastructure, and GRC. Define strategy, run prioritization, expand detection and remediation coverage, build AI-driven security workflows and dashboards, manage vendors, budgets, audits, and stakeholder communications to harden the SDLC and scale security for an AI-native company.

The Principal Product Operations Manager at Gusto will drive product development and integrate service strategies using customer feedback and data. This role requires collaboration across teams to ensure product success and enhance customer experience, leveraging AI tools and operational metrics.

Design, build, and operate a low-latency online feature store and supporting batch/streaming pipelines. Optimize Postgres schemas and real-time serving for ML models, improve scalability, reliability, and observability, mentor junior engineers, and partner with data science, analytics, product, and application teams to deliver production-grade MLOps solutions.

Manage title order processing end-to-end: open orders, procure title search products, HOA documents and payoff demands, review executed closing files, prepare and submit recording documents, monitor recordings, resolve discrepancies, and upload final documents while maintaining regulatory and company compliance.

Manage homeowner application pipeline from intake to underwriting handoff: collect documents, order and track third-party reports, review files for completeness, compile application packages, coordinate with Sales and Signing/Funding to close and fund investments, and resolve vendor issues.

Manage a pipeline of homeowner applications from intake to underwriting handoff. Collect supplemental documentation, order and track third-party reports, review files for completeness, compile full application packages, and coordinate with Sales, Signing, and Funding teams to close and fund investments.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Drive new business by identifying and qualifying partnership opportunities, managing the early stages of the business development pipeline, and collaborating with Sales teams to strategize outreach efforts.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.

Lead ownership of reliability, evaluation, and safety for an AI copilot in a trading platform. Build eval systems, benchmarks, automated quality gates, monitoring, and model improvement loops; partner with engineering and product to define safe tool contracts and ensure predictable, auditable assistant behavior in trading workflows.

Build a high-performance, low-latency Rust backend and core AI platform for an AI-native trading experience. Implement streaming responses, tool orchestration, caching, secure APIs (auth, rate limits, auditing, tracing), and safe trading action infrastructure (previews, confirmations, idempotency, audit logs). Partner with product and frontend to enable AI-native UX and translate business domain requirements into secure, resilient platform primitives.

Manage employee relations, ensure labor law compliance, support performance management, administer benefits and leave, maintain HRIS data and reporting, run workforce analytics for diversity, support onboarding and headcount processes, and improve People systems and programs while partnering with leaders and cross-functional teams.

Lead HRMS implementation, maintenance and support activities: ensure data integrity, troubleshoot issues, design processes, build reports and dashboards, run testing and integrations, and partner with People teams on training and improvements.

Lead total rewards strategy and execution for compensation, incentives, equity, benefits, and wellness. Partner with People Partners, Talent Acquisition, and executives to maintain job architecture, audit pay equity, manage benefits programs, and support annual compensation and performance cycles.

Provide best-in-class travel support across chat, call, and email; manage hotel, flight, car and rail bookings; maintain supplier and system knowledge; resolve issues within SLA; advise on fares, ticketing, and compliance; provide feedback to product teams and meet performance metrics.