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Applied AI Manager – Data Science & AI Team
About Cardo AI
At Cardo AI, we've been on a mission since 2018 to make Private Credit and Asset-Based Finance (ABF) markets more accessible and efficient. Today, with over $40 billion in assets under technology, our platform empowers banks, trustees, and investors to accelerate growth through:
- Smarter strategies
- Faster transactions
- Optimized investment portfolios
Driven by the bold vision to help grow the ABF market beyond $40 trillion, we're building a future defined by speed, confidence, and innovation.
By combining automated workflows, comprehensive data, and AI-driven insights, we transform complexity into opportunity, enabling our clients to unlock growth and stay ahead. Learn more about our products, services, and mission.
The Role
The Data Science & AI team is growing, and we are looking for an Applied AI Manager to lead our application of AI across the platform and business.
This is not a research role—we need someone who ships.
Key Responsibilities
- Lead the design and delivery of complex ML and GenAI systems—robust, scalable, and built for production
- Guide the team across the full AI lifecycle, from:
- Experimentation and evaluation
- Deployment and monitoring
- With a strong emphasis on reproducibility and reliability
- Drive architectural decisions for data-intensive, AI-driven applications, balancing:
- Cutting-edge approaches
- Production readiness
- Apply NLP and GenAI to extract structure from unstructured financial documents, including:
- Credit agreements
- Indentures
- Servicer reports
- Build and deploy models operating on structured finance data, where a logic error has real financial consequences
- Mentor and grow engineers across levels, fostering:
- High-performing teams
- A strong engineering culture
- Collaborate cross-functionally with:
- Product
- Data
- Business teams
- To shape roadmaps and deliver real impact
- Champion AI adoption across the organization and influence company-wide technology strategy
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You Bring
Essential Experience
- Proven experience leading engineering teams in a fast-paced, high-growth environment
- Solid understanding of structured finance, including:
- Loan tapes
- Cash flow waterfalls
- ABS/CLO structures
- Priority of payments
- Strong software engineering skills (Python preferred), combined with:
- Deep knowledge of AI/ML frameworks
- GenAI tooling
- Modern data infrastructure
- Hands-on experience building and deploying ML/GenAI systems in production in:
- Finance
- Legal
- Other high-complexity, data-heavy domains
- Ability to lead architectural discussions and technical trade-offs without losing sight of details
- Familiarity with:
- Cloud infrastructure (AWS preferred)
- Modern MLOps practices
- Commitment to people development, including:
- Mentoring
- Performance conversations
- Building high-performing teams


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Bonus Experience (Desired but Not Mandatory)
- Experience with:
- NLP on financial contracts
- RAG or LLM-based applications on structured data
- Large-scale loan data pipelines
- Knowledge of containerization tooling:
- Docker
- Kubernetes
- Terraform
Compensation & Benefits
- Competitive salary with performance-based bonus
- Stock option plan
- Regular team events and annual retraets
- Referral bonus program
- Opportunities for career growth within a fast-scaling fintech innovator
- Collaborative, innovative, and entrepreneurial culture, valuing:
- Creativity
- Initiative
- Impact
Join Cardo AI—let boldness and creativity reign. Together, we'll shape the future of fintech!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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