AI Solutions Engineer: Credit & Financial Applications

Core Responsibilities:

Develop AI-Enabled Prototypes

Rapidly design and build functional tools using Python, AI code generation platforms (e.g., Lovable, Replit, GitHub Copilot), or low-code environments to support credit underwriting, pricing models, risk analytics, and lending workflows.

Embed with Business Teams

Work closely with credit, finance, and operations teams to deeply understand internal workflows and decision-making processes.

Operate as an extension of front- office users to co-develop and validate real-world solutions.

Prioritize Impact, Not Perfection

Identify the highest-leverage problems to solve, independently scope work, and deploy prototypes that deliver tangible business value under time constraints. Focus on functionality and speed over scalability and polish

Collaborate Across Functions

Serve as a bridge between domain experts and technical teams, translating unstructured requirements into working software. Document and communicate specifications for engineering teams when transitioning prototypes to production.

Experiment with AI Tooling:

Stay on the leading edge of AI-driven development. Regularly test and incorporate emerging platforms, libraries, and techniques into your workflow to improve speed, reliability, and automation in internal tool development.

Operate Under Pressure:

Deliver high-quality work in high-intensity settings with rapidly evolving business priorities. Navigate ambiguity, tight timelines, and shifting demands while maintaining focus and composure.

Job Requirements:

Bachelor’s or Master’s degree in Finance, Computer Science, Engineering, Mathematics, or a related technical or quantitative discipline.

5+ years of relevant experience in fintech, structured finance, or credit markets, preferably in hybrid technical/operational roles.

Strong familiarity with structured finance, credit risk, lending workflows, and financial data modeling.

Proven ability to build and iterate on tools using Python and modern code-generation or low-code platforms.

Demonstrated experience working directly with stakeholders in credit, operations, or finance to design and deliver practical tools under real-world constraints.

Ability to operate independently, manage competing priorities, and deliver results with minimal supervision.

Strong verbal and written communication skills, particularly in translating technical logic into business-relevant outcomes.

Preferred Requirements:

Familiarity with structured products (ABS, RMBS, CLOs) and loan-level cash flow modeling.

Experience integrating AI/ML models or agents into lending or financial decision-making processes.

Comfortable working with SQL, MongoDB, and data pipeline design in support of analytic tools.

Exposure to Microsoft Azure (Functions, App Services, DevOps) or similar cloud platforms.

Leadership Skills & Responsibilities:

Commercially Driven: You understand business context and make prioritization decisions accordingly. Your focus is on solving the right problems and delivering results.

Curious & Self-Directed: You are constantly experimenting with new AI tooling and development platforms, driven by an eagerness to learn and improve.

Business Oriented Technologist: always looking to expand their skillset and try new tools when appropriate, but with judgment.

Collaborative & Adaptive: You are comfortable navigating ambiguity and thrive in dynamic, fast-paced environments where priorities can shift quickly.

Fast, Iterative Builder: Avoids overengineering and premature scaling. Focus on building scrappy but functional versions first, then improve based on usage and need.

Strong Non-Technical Communicator: Can explain technical concepts simply and effectively. Comfortable working alongside finance, credit, risk, etc.

Proactive and Supportive: Frequently ask “how can I help?” and step in with solutions and ideas before being asked.

What We Offer:

Growing FinTech credit team innovating in emerging markets.

Cutting-edge, meaningful work impacting FinTech and private credit.

Design next-gen AI-powered FinTech products.

Participation in SaaS spin-off and AI-powered startup.

High-impact role with senior leadership visibility.

Remote-first culture valuing creativity and AI innovation.

Professional development opportunities.

Collaborative, team-first colleagues worldwide.

Competitive pay and perks.