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Cardo AI

Applied AI Manager

London
Posted 3 months ago
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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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It 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.

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Strong

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.

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Strong

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

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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!

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“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.”

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Skills

Machine Learning
Generative AI
Python
Natural Language Processing
MLOps
AWS
Structured Finance
Team Leadership
Software Engineering
Data Infrastructure
RAG
LLM

Location

London, England, United Kingdom

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