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Fintech Risk Jobs in Colorado (NOW HIRING)

BillGO, Inc.

Staff Engineer - AI

Fort Collins, CO · On-site

$151K - $225K/yr

... across payments, risk, and support. We're hiring a Staff AI Engineer, a senior individual ... Trust, Reliability & Fintech Rigor * Design AI systems that meet the demands of regulated financial ...

The Savings Group

Director of Titles Operations

Denver, CO · On-site

$120K - $140K/yr

That's because we work with some of the most amazing goal-oriented and driven people in fintech and ... Queue & Risk Management. * Monitor and actively manage: * Backlog levels. * Aging accounts. * QA ...

AUTOPAY

Director of Titles Operations

Denver, CO · On-site

$120K - $140K/yr

That's because we work with some of the most amazing goal-oriented and driven people in fintech and ... Queue & Risk Management: * Monitor and actively manage: * Backlog levels. * Aging accounts. * QA ...

Kinective

Customer Success Manager

Golden, CO

$75K - $85K/yr

Description Ready to be a part of the company transforming FinTech and how the world accesses ... Execute risk and save plans to improve customer health and increase likelihood of renewal.

Kinective

Customer Success Manager

Golden, CO · On-site

$75K - $85K/yr

Ready to be a part of the company transforming FinTech and how the world accesses banking services ... Execute risk and save plans to improve customer health and increase likelihood of renewal.

Kinective

Customer Success Manager

Golden, CO · On-site

Job Type Full-time Description Ready to be a part of the company transforming FinTech and how the ... Execute risk and save plans to improve customer health and increase likelihood of renewal.

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All JobsFintech Risk JobsFintech Risk Jobs in Colorado

Fintech Risk information

See Colorado salary details

$15

$31

$77

How much do fintech risk jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for fintech risk in Colorado is $31.90, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $40.67 per hour, depending on experience, location, and employer.

How does a Fintech Risk professional typically collaborate with product and technology teams?

Fintech Risk professionals work closely with product and technology teams to identify potential risks early in the development of new financial products or features. They participate in cross-functional meetings, review product specifications, and help design controls to mitigate regulatory and operational risks. This collaboration ensures that risk considerations are integrated from the outset, enabling safer and more compliant product launches. Open communication and a proactive approach are key to balancing innovation with risk management in these fast-paced environments.

What is the difference between Fintech Risk vs Fintech Compliance Officer?

AspectFintech RiskFintech Compliance Officer
Primary FocusIdentifying, assessing, and mitigating financial risks in fintech operationsEnsuring adherence to regulatory requirements and internal policies
CertificationsFRM, CFA, or similar risk management certificationsCAMs, CCEP, or compliance-specific certifications
Work EnvironmentRisk management teams, financial institutions, fintech startupsLegal and compliance departments within fintech firms
Industry UsageUsed across fintech companies to manage financial risksUsed to maintain regulatory compliance and avoid legal issues

While both roles operate within the fintech industry, Fintech Risk professionals focus on managing financial risks associated with products and operations, whereas Fintech Compliance Officers concentrate on regulatory adherence. Both are essential for the stability and legality of fintech services, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Fintech Risk professional, and why are they important?

To thrive as a Fintech Risk professional, you need a solid understanding of financial regulations, risk assessment methodologies, and data analytics, often supported by a degree in finance, economics, or a related field. Familiarity with risk management systems, regulatory compliance tools, and certifications such as FRM (Financial Risk Manager) or CFA is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you navigate complex risk scenarios and collaborate with cross-functional teams. These competencies are crucial for identifying, assessing, and mitigating risks in the fast-evolving fintech landscape, ensuring organizational stability and regulatory compliance.

What is Fintech Risk?

Fintech risk refers to the various types of financial, operational, regulatory, and technological risks associated with financial technology companies and their products. These risks include cybersecurity threats, compliance challenges, data privacy concerns, and potential fraud. Managing fintech risk is crucial to ensure the safety of digital transactions, protect sensitive customer information, and maintain trust in innovative financial services. Professionals in this area assess and mitigate risks to help fintech firms operate securely and within legal frameworks.
What are popular job titles related to Fintech Risk jobs in Colorado? For Fintech Risk jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Fintech Risk jobs in Colorado look for? The top searched job categories for Fintech Risk jobs in Colorado are:
Fintech Risk jobs near you
Infographic showing various Fintech Risk job openings in Colorado as of June 2026, with employment types broken down into 3% As Needed, 65% Full Time, 29% Part Time, and 3% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $66,350 per year, or $31.9 per hour.
Staff Engineer - AI

Staff Engineer - AI

BillGO, Inc.

Fort Collins, CO • On-site

$151K - $225K/yr

Full-time

Posted 12 days ago

Job description

Staff AI Engineer: Shape the future of payments with AI
BillGO is building the next generation of payment and money movement infrastructure for small businesses. AI is core to how we scale reliability, reduce operational friction, and deliver better outcomes across payments, risk, and support.
We're hiring a Staff AI Engineer, a senior individual contributor who combines deep hands-on engineering with strong technical leadership. This role reports directly to the CTO and operates as a trusted technical partner to senior leadership, helping turn business intent into production-grade AI systems that operate at scale.
What You'll Do
Build AI Where It Matters
  • Design and ship AI/ML systems embedded directly in B2B payment flows, including:
    • Payment prioritization and acceleration
    • Cash-flow forecasting and predictive insights
    • Automated reconciliation, exception handling, and workflow orchestration
  • Balance accuracy, latency, explainability, reliability, and cost in business-critical systems.
  • Own model behavior in real-world production environments, not just offline metrics.
Multiply the Organization with AI
  • Partner with Product, Engineering, Operations, and Finance to:
    • Automate internal workflows using ML and LLMs
    • Replace manual reviews and heuristics with intelligent systems
    • Reduce cost-to-serve while increasing throughput and quality
  • Build AI tools and platforms that allow small teams to operate at scale.
Technical Leadership & Ownership
  • Own the end-to-end lifecycle of AI systems: problem framing, architecture, data and feature design, deployment, monitoring, and continuous improvement.
  • Define architectural direction for AI-enabled platforms and workflows spanning multiple teams and domains.
  • Act as a senior technical leader and force multiplier, providing clarity, judgment, and direction across concurrent initiatives.
  • Evaluate and adopt AI, data, and automation technologies where they deliver measurable business value.
  • Influence execution through technical leadership rather than formal authority.
Applied AI, ML Ops & Architecture
  • Build production-grade AI systems embedded in business-critical operational workflows (e.g., payments, risk review, support triage).
  • Design decision systems combining rules, ML inference, and self-healing capabilities.
  • Operate and evolve ML infrastructure including:
    • Model serving and inference pipelines
    • Feature engineering and online/offline consistency
    • Monitoring for data quality, model performance, and system health
  • Work with modern cloud-native architectures: event-driven systems, streaming pipelines, and real-time processing.
  • Make informed build-vs-buy decisions for AI and data platforms.
Trust, Reliability & Fintech Rigor
  • Design AI systems that meet the demands of regulated financial environments.
  • Ensure security, privacy, auditability, and explainability of AI-driven decisions.
  • Implement safe deployment practices such as shadow mode, canary releases, back testing, and rollback.
  • Proactively identify and mitigate risks related to bias, failure modes, and unintended system behavior.

What You Bring
Experience
  • 10+ years of professional software engineering experience, with significant ownership of production systems.
  • Proven experience shipping AI / ML enabled systems into real-world production.
  • Experience with payments, banking, or financial infrastructure is a strong plus.
Engineering & Platform Skills
  • Strong proficiency in one or more backend languages (Java, C#, Python).
  • Deep understanding of distributed systems and modern architectural patterns.
  • Experience with cloud platforms (AWS and/or Azure), microservices, and event-driven systems.
  • Hands-on experience with CI/CD, containerization (Docker), and Kubernetes.
AI & Data
  • Strong understanding of production ML systems, including:
    • Model inference and serving
    • Feature engineering and data quality
    • Monitoring and operating ML models (MLOps)
  • Experience with LLMs or modern AI systems in production is a strong plus.
How You Work
  • Comfortable operating in ambiguity and making decisions with imperfect information.
  • Strong technical judgment with a bias toward action.
  • Clear communicator who can influence both technical and non-technical partners.
  • Builder's mindset with a focus on measurable impact.

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