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Remote Fintech Analyst Jobs in Colorado (NOW HIRING)

About Clerkie Clerkie is a fintech startup on a mission to democratize financial wellness using the ... Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ...

... MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client ... Research and implement AI-powered tools to improve research, analysis, and content workflows ...

Senior Product Manager, Payments

Denver, CO · On-site +1

$130K - $171K/yr

Remote (US) with a strong preference for candidates able to work a hybrid-schedule out of our ... Strong data fluency, with the ability to define metrics, analyse performance, and inform ...

Senior Product Manager, Payments

Denver, CO · On-site +1

$130K - $171K/yr

Remote (US) with a strong preference for candidates able to work a hybrid-schedule out of our ... Strong data fluency, with the ability to define metrics, analyse performance, and inform ...

Sales Development Representative

Denver, CO · On-site +1

$60K - $63K/yr

Remote (required to live in one of the following states: AZ, CO, FL, GA, IL, MI, MN, NY, NC, TX, UT ... Fintech, SaaS, or startup experience is a plus, demonstrating an ability to thrive in a fast-paced ...

Remote Fintech Analyst information

What is a remote fintech analyst?

A Remote Fintech Analyst is a professional who evaluates financial technology companies, products, or services while working from a location outside of a traditional office—often from home. Their main responsibilities include analyzing market trends, assessing technology solutions, and providing insights that help financial institutions innovate and stay competitive. Working remotely, these analysts use digital tools to collect data, collaborate with teams, and deliver reports. This role combines finance expertise with knowledge of technology trends and strong analytical skills. It is ideal for those comfortable with digital communication and self-management.

What are the key skills and qualifications needed to thrive as a remote fintech analyst?

To thrive as a Remote Fintech Analyst, you need strong analytical abilities, financial acumen, and a relevant degree (such as in finance, economics, or data science). Familiarity with tools like SQL, Python, Excel, and fintech platforms, as well as certifications like CFA or FRM, is highly advantageous. Excellent communication, problem-solving skills, and self-motivation are crucial for collaborating virtually and interpreting complex financial data. These skills and qualities are essential for delivering accurate insights, driving data-driven decisions, and succeeding in a fast-paced, technology-driven environment.

How do remote fintech analysts typically collaborate with cross-functional teams while working offsite?

Remote Fintech Analysts frequently engage with product managers, engineers, and compliance professionals through virtual meetings, collaborative platforms, and shared documentation tools. Effective communication and proactive updates are essential to ensure alignment on project goals and deadlines. Many organizations utilize agile methodologies, which foster regular check-ins and feedback loops, helping remote analysts contribute insights and adapt to rapidly changing priorities. Building strong relationships with team members, even virtually, is key to successful collaboration and project outcomes.

What is the difference between Remote Fintech Analyst vs Remote Financial Analyst?

AspectRemote Fintech AnalystRemote Financial Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; knowledge of fintech toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentFintech companies, startups, financial technology firmsFinancial institutions, investment firms, corporate finance departments
Employer & Industry UsagePrimarily in fintech industry, startups, tech-driven finance firmsBanking, investment, corporate finance sectors
Common Search & ComparisonYesYes

The main difference between a Remote Fintech Analyst and a Remote Financial Analyst lies in their industry focus. Fintech Analysts specialize in financial technology companies, working with innovative tools and platforms, while Financial Analysts typically work within traditional financial institutions analyzing investments, budgets, and financial data. Both roles require similar educational backgrounds and analytical skills, but their work environments and industry applications differ.

What are popular job titles related to Remote Fintech Analyst jobs in Colorado?

For Remote Fintech Analyst jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Fintech Analyst jobs in Colorado look for?

The top searched job categories for Remote Fintech Analyst jobs in Colorado are:

What cities in Colorado are hiring for Remote Fintech Analyst jobs?

Cities in Colorado with the most Remote Fintech Analyst job openings:

Infographic showing various Remote Fintech Analyst job openings in Colorado as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution.

Senior Software Engineer, AI-Assisted Financial Systems

Rico, CO • On-site, Remote

Distro
Software Development • 1 - 10 employees

Full-time

Re-posted 15 days ago


Job description

**Position:** Member of Technical Staff (Node.js + AI Workflows)
**Location:** Remote (Must be based in Buenos Aires, Argentina)
**About Arative / Bancoli:**
* We are a distributed fintech team redefining software development. We don't hire "experts" to write code-we hire brilliant overseers to guide, correct, and empower our AI models and assistants.
* Our culture prioritizes High Energy, High Integrity, and the humility to know that the AI is the true subject-matter expert. Your job is "Help the AI to help the company!"
**Role Overview:**
We're hiring a hands-on technical generalist to help enterprise customers turn AI workflows into working production systems. This is the next version of Solutions Engineering: part customer-facing technical partner, part infrastructure/debugging specialist, part AI-agent operator. AI will do more of the raw implementation work; your job is to steer it, validate it, integrate it, and make sure the customer outcome actually works.
* **Direct the AI:** Operate as the project leader where AI is your primary workforce. You will break down complex problems, provide the necessary context, and iterate with the AI to achieve perfection.
* **Validate and Orchestrate:** Validate the architectural, security, and performance decisions generated by AI agents for our secure payment systems.
* **Multi-Disciplinary Generalist:** Flex across domains (backend, infrastructure, fintech logic). You give the AI the "hands and tools" it needs to succeed.
**Requirements:**
* Own customer technical onboarding from workflow discovery through production rollout.
* Translate messy customer requirements into APIs, automations, integrations, evals, and deployment plans.
* Use AI agents as implementation partners, then review, test, debug, and harden their output.
* Work across Node.js/TypeScript, APIs, databases, auth, queues/webhooks, GCP, Cloudflare, and observability.
* Diagnose infrastructure issues: networking, environment setup, permissions, DNS, auth, latency, data flow, and reliability.
* Bring repeated customer lessons back into product, tooling, docs, and reusable playbooks.
* Be the calm technical human in the loop when customers need judgment, context, and follow-through.
**Why Join Us?**
* **Unlimited AI Access:** Near unlimited access to state-of-the-art AI models and tooling is non-negotiable and provided.
* **High Leverage:** No menial coding. You will focus entirely on systems thinking, context injection, and extreme quality control.
* **Unique Culture:** Work with a small team achieving the output of a large engineering department.
#Bancoli
#LI-PROMOTED
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.