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Roles
Compensation
Competitive annual salary, performance-based cash bonus, and equity options; Fully remote work environment; 401(k) retirement plan; Comprehensive health, dental, and vision insurance.
- Salary period
- yearly
- Equity
- Equity options
- Bonus
- Performance-based cash bonus
Benefits
- Opportunities for progressive role seniority and compensation growth based on the candidate's knowledge and experience
- Competitive annual salary
- Performance-based cash bonus
- Equity options
- Fully remote work environment
- 401(k) retirement plan
- Comprehensive health, dental, and vision insurance
Tech stack
Required
Location
Jacksonville, Jacksonville, Florida, United States
Work setup
- Employment
- full-time
- Level
- Mid-level
- Remote policy
- Primarily remote-first; may need to travel to visit client sites or attend meetings at designated locations with team members.
- Remote scope
- unclear
- Travel
- May need to travel to visit client sites or attend meetings at designated locations with team members.
- Authorization
- Work authorization required (asked during application).
Role details
Responsibilities
- Break down ambiguous business problems into clear analytical frameworks
- Develop insights that inform decisions across product, engineering, operations, and go-to-market functions
- 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
- Analyze existing workflows to identify inefficiencies, gaps, and bottlenecks
- Redesign processes to improve speed, consistency, and outcomes
- Implement repeatable, scalable solutions
- Build models, dashboards, and frameworks that drive visibility into performance
- Synthesize large volumes of structured and unstructured data into actionable insights
- Create templates, playbooks, and tools that can be leveraged across teams
- Turn one-off work into repeatable, scalable capabilities
- Work across teams (Product, Engineering, Operations, Sales, etc.) to support high-priority initiatives
- Translate between technical and business stakeholders
Requirements
- 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
Application
Apply by submitting your résumé through the posting. Please mention the word NEATEST and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==).
- Portfolio
- unclear
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
- ats
Company context
Reimagining banking; improving efficiency and delivering value to clients with an AI-first mindset.
- Product
- Modern core platform and cloud-based technology for financial institutions; AI-enabled analytical solutions.
- Industry
- Fintech
- Open source
- unclear
Description
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. 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. CORE RESPONSIBILITIES: - Break down ambiguous business problems into clear analytical frameworks - Develop insights that inform decisions across product, engineering, operations, and go-to-market functions - 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 - Analyze existing workflows to identify inefficiencies, gaps, and bottlenecks - Redesign processes to improve speed, consistency, and outcomes - Implement repeatable, scalable solutions - Build models, dashboards, and frameworks that drive visibility into performance - Synthesize large volumes of structured and unstructured data into actionable insights - Create templates, playbooks, and tools that can be leveraged across teams - Turn one-off work into repeatable, scalable capabilities - 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: Apply via résumé submission; questions up front about work authorization and compensation expectations; short one-way video interview; conversation with hiring manager (Director of Applied AI); short build exercise (AI-native tools, within a 72-hour window); brief online assessment; offer if match. BENEFITS: Opportunities for progressive role seniority and compensation growth; competitive annual salary, performance-based cash bonus, and equity options; Fully remote work environment; 401(k) retirement plan; Comprehensive health, dental, and vision insurance.
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