Applied AI Analyst

ABOUT NYMBUS:
Nymbus (https://nymbus.com/) isn’t just a leader in fintech; we’re a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

Here, you won’t just be part of a tech revolution. You’ll be at the helm, driving change. You’ll fit right in if you’re a creative thinker who’s eager to reduce technical debt and increase agility for banks and credit unions. Our culture thrives on collaboration, integrity, and a client-first approach.

We operate with an AI-first mindset across all aspects of our business, continuously improving our efficiency and increasing the value we deliver to clients. We’re looking for individuals who are intensely curious about emerging technologies and passionate about innovation.

Your journey with us won’t simply advance your career; it will offer the chance to help shape an industry alongside like-minded professionals. We’re excited to consider you a key player in this transformative chapter. Thank you for considering a role with Nymbus.

WORK ENVIRONMENT:

We are primarily a remote-first company, but you may need to travel to visit client sites or attend meetings at designated locations with your team members.

ROLE OVERVIEW:

The Applied AI Analyst operates at the intersection of business, data, and AI to solve complex problems and drive measurable outcomes. This role partners with functional leaders to bring analytical rigor, structure, and AI-enabled solutions to high-impact decisions, workflows, and strategic initiatives.

Applied AI Analysts do not operate in theory alone—they are hands-on builders and problem solvers who design, prototype, and deploy AI-driven approaches that improve efficiency, decision-making, and business performance.

CORE RESPONSIBILITIES:

• Problem Structuring & Analysis
• Break down ambiguous business problems into clear analytical frameworks
• Develop insights that inform decisions across product, engineering, operations, and go-to-market functions
• AI-Driven Solutions
• Design and prototype AI-enabled workflows, tools, and use cases
• Apply AI to improve efficiency, quality, and scalability of work
• Identify and prioritize opportunities for automation and augmentation
• Workflow & Process Optimization
• Analyze existing workflows to identify inefficiencies, gaps, and bottlenecks
• Redesign processes to improve speed, consistency, and outcomes
• Implement repeatable, scalable solutions
• Data & Insight Generation
• Build models, dashboards, and frameworks that drive visibility into performance
• Synthesize large volumes of structured and unstructured data into actionable insights
• Reusable Asset Development
• Create templates, playbooks, and tools that can be leveraged across teams
• Turn one-off work into repeatable, scalable capabilities
• Cross-Functional Partnership
• Work across teams (Product, Engineering, Operations, Sales, etc.) to support high-priority initiatives
• Translate between technical and business stakeholders

WHAT SUCCESS LOOKS LIKE:

• Measurable improvements in efficiency, quality, or revenue outcomes in assigned functional area(s)
• AI solutions that are adopted and reused across teams
• Better, faster decision-making supported by data and analysis
• Reduction in manual effort and process variability
• Creation of scalable frameworks, not one-off outputs

CORE SKILLS & CAPABILITIES:

• Strong analytical thinking and problem-solving ability
• Ability to work with ambiguity and define structure
• Experience applying AI tools (e.g., LLMs, automation tools) to real-world problems
• Process design and optimization mindset
• Clear communication and ability to influence stakeholders
• Bias toward action, experimentation, and iteration

WHAT TO EXPECT:

Thanks for your interest in the Applied AI Practice at Nymbus. We've tried to make this process transparent and respectful of your time. Here's what it looks like, end to end:

1. Apply. Submit your résumé through the posting. We'll ask two quick questions up front — your work authorization and your compensation expectations — so we can make sure we're aligned before either of us invests time.
2. A short video interview. If your background looks like a fit, we'll invite you to a brief one-way video interview you can record on your own schedule — a few questions, no live scheduling required.
3. A conversation with the hiring manager. A 1:1 conversation with the Director of Applied AI — partly for us to learn how you think, partly for you to dig into the role, the team, and whether it's the right fit for you.
4. A short build exercise. A small, hands-on project shaped like the actual work, built with whatever AI-native tools you like. Plan for a few hours; you'll have a 72-hour window so you can fit it around a job or classes. We care how you think and build, not how long you spend.
5. A brief online assessment. A short, standard assessment that all Nymbus candidates complete.
6. Offer. If it's a match, we move to an offer.

We try to move quickly and keep you informed at each step. Questions along the way are always welcome.

BENEFITS:

• Opportunities for progressive role seniority and compensation growth based on the candidate’s knowledge and experience
• Competitive annual salary, performance-based cash bonus, and equity options
• Fully remote work environment
• 401(k) retirement plan
• Comprehensive health, dental, and vision insurance