Top Fintech Jobs in Denver & Boulder, CO

Staff Attorney independently manages moderately complex civil litigation and construction defect matters, including legal research, pleadings, discovery, hearings, trials, mediations, and settlement negotiations. The role advises clients and Claims Representatives, evaluates legal risks, uses e-discovery and case management technologies, mentors junior attorneys, conducts training, ensures ethical and regulatory compliance, and improves legal workflows through automation and process enhancements.

Serves as executive relationship owner for approximately 20 global private equity clients and their portfolio companies. Builds senior broker partnerships across the Midwest, South Central, and West, drives submissions, new business, cross-selling, and client growth, and represents Liberty Mutual’s insurance product portfolio. Leads marketing communications, events, prospecting, escalations, and cross-enterprise collaboration while influencing leaders and developing strategic opportunities.

Provide front-line banking support across multiple branch locations: open accounts, process transactions, handle teller duties, initiate proactive customer conversations, identify sales opportunities and referrals, and use digital tools while adhering to compliance, risk controls, and operational standards. Role requires flexibility, travel within an assigned geography, and collaboration with branch teammates.

Provide personalized banking support across multiple branch locations, handling account openings, transactions, cash handling, service requests, and credit applications. Build customer relationships through discovery conversations, promote banking products and referrals, use digital tools, maintain compliance with risk controls, and collaborate with branch teammates while traveling within an assigned geography.

Acquire, deepen, and manage relationships with affluent customers by delivering multi-product financial advice, growing a defined book of business, coordinating solutions with Wealth, Home Lending, and Business Banking, handling everyday banking needs, promoting digital adoption, ensuring accurate documentation and compliance, and supporting branch team performance.

Partner with Product Directors to deliver reporting, analysis, and market-ready insights for Dental and Vision. Provide rapid support to Sales, brokers, and account teams, analyze network and plan design, identify risks and optimization opportunities, and produce external-ready materials and recommendations for regional market execution.

Screen and process incoming Group Life claims and related mail, enter and update claims in the FEGLI system, handle claimant calls and correspondence, produce letters, perform peer reviews, and meet quality and production metrics.

Reviews and approves escalated complaint responses, advises on complex life insurance and annuity transactions, investigates high-value disbursements and suspected fraud, and researches contract histories. The role develops resolutions for customers and partners, supports legal, compliance, product, and regulatory teams, identifies operational risks and trends, and recommends process improvements while maintaining strong controls.

Senior Project Manager leading cross-functional agile delivery for Commercial Banking digital and data initiatives. Drive project planning, dependency coordination, release execution, status reporting, and stakeholder alignment for solutions including automation, AI/ML, APIs, and data analytics. Support business case development, POCs/pilots, roadmap sequencing, and organizational change management while operating in a matrix environment to ensure timely delivery and adoption.

Leads strategic sourcing and procurement initiatives for banking operations, including complex negotiations, competitive bidding, contract redlining, vendor management, spend oversight, and cost savings. Partners with executives and cross-functional stakeholders to develop sourcing strategies, assess market trends, manage supplier relationships, and improve third-party value, quality, and service levels while considering risk and total cost of ownership.

Leads enterprise AI tooling and security engineering, designing scalable cloud platforms and secure AI applications. Responsibilities include protecting models, agents, prompts, data, APIs, and outputs; securing the AI/ML lifecycle; implementing identity, encryption, monitoring, threat detection, adversarial testing, and incident response; and establishing engineering standards. The role mentors engineers, influences architecture and technology strategy, and partners with governance, risk, compliance, and business teams to support responsible AI adoption.

Own full-cycle recruiting across technical, business, and go-to-market roles, from individual contributors through leadership. Partner with hiring managers and senior leaders on role definition, sourcing strategy, candidate evaluation, and hiring decisions. Manage complex searches, use funnel metrics to improve outcomes, maintain ATS rigor, enhance recruiting processes, and deliver consistent candidate experiences. Mentor recruiters and provide talent-market expertise, judgment, and stakeholder leadership.

Leads and manages an applied machine learning team developing fraud detection and identity verification models. Responsibilities include people management, coaching, code review, production ML systems, model lifecycle ownership, experimentation, deployment, monitoring, fraud research, cross-functional prioritization, and communicating results. The role remains hands-on while partnering with Product, Engineering, Risk, and leadership to drive measurable business impact and shape future product strategy using machine learning and AI.

Leads an applied machine learning team and owns fraud detection and identity model strategy, development, deployment, monitoring, and iteration. Partners with Product, Engineering, Risk, and senior leadership to set priorities and deliver business impact. Provides technical mentorship, reviews code, guides modeling and architecture decisions, researches fraud patterns, develops ML capabilities, and shapes responsible AI use under data governance and security constraints.

Architect, build, and operate low-latency market data systems, including feed handlers, normalization, distribution, and exchange connectivity. Design high-throughput infrastructure for real-time trading data, improve reliability and performance, participate in observability, on-call, and incident response, and deliver well-tested features end to end. Partner with engineering, product, and cross-functional stakeholders while leading a lean, high-impact team.

Own infrastructure, deployment, operational tooling, observability, deploy safety, and incident response for latency-sensitive institutional trading systems across cloud and colocated environments. Improve reliability, performance, and developer velocity; reduce single points of failure; establish operational standards and automation; partner with engineering, product, markets, and SRE; and mentor engineers in a 24/7 production environment.

Architect and own Coinbase’s real-time, cross-asset risk and margin engine for institutional trading. Design low-latency, high-throughput distributed systems; ensure reliability, observability, SLOs, and incident response; establish engineering standards; mentor engineers; and partner with Product, Trading, Credit Risk, Security, and Compliance to deliver the technical roadmap. The role requires deep Java, messaging, financial risk, margin, and regulated-systems expertise.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, demand forecasting, targeting, and personalization. Collaborate with engineers, product, and stakeholders to set architecture, metrics, and production best practices; mentor data scientists; lead experimentation and deploy/monitor models using cloud and MLOps tooling.

The Senior Product Manager will own the strategy and execution of Toast's configuration platform, collaborating with engineering, design, and customer teams to enhance the user experience and support diverse business needs.

Design, build, and maintain scalable Salesforce Apex solutions supporting Sales and Customer Experience teams. Use AI coding assistants throughout development, apply Salesforce architecture and release-management practices, deploy with sf CLI, and build reliable production systems at scale. Improve deployed features, measure impact, document code, and contribute beyond Salesforce when needed. Translate ambiguous requirements into scalable technical solutions and business value.

Lead go-to-market strategy for new products, offers, and motions through experimentation and test-and-learn approaches. Shape segmentation, positioning, pricing, and cross-product narratives; synthesize market and customer insights; align Product, Sales, Growth, Marketing, and Customer Experience teams; build new processes and systems; define performance metrics; and optimize initiatives to drive adoption, growth, and product-market fit.

The Expansion Account Manager will manage customer relationships, drive account retention, identify growth opportunities, and leverage data for proactive outreach to enhance customer success and satisfaction.

Own operational reporting, diagnostic analysis, capacity planning, platform administration, system changes, process improvement, and cross-functional program execution. Partner with Product, Engineering, workforce planning, vendors, training, and quality teams to improve operational performance. Lead accountability mechanisms, roadmap alignment, AI and automation initiatives, and scaled delivery while mentoring teammates and influencing without formal authority.

As a Collections Specialist, you will manage SMB customer accounts, negotiate payment plans, achieve recovery targets, and document accounts in Salesforce CRM.

Lead and deliver end-to-end data science projects: design, build, deploy, and monitor ML/statistical models for credit risk, pricing, collections, and fraud. Partner with cross-functional teams to integrate models into production, set model development standards, mentor engineers, and maintain reliable ML pipelines and monitoring systems.

Manage a portfolio of small and medium business customers to grow relationships and identify additional capital solutions. Analyze business and financial histories, own the sales process from approval to close, use data to prioritize opportunities, and meet monthly quota in a fast-paced environment.