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Jack & Jill

VP, Data & Underwriting at Cenotian

London
Posted about 8 hours ago
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

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Job Title

VP, Data & Underwriting

Salary

Not Disclosed

Company Description

Cenotian is an early-stage, Tier-1 backed fintech securitizing industrial robotics and automation assets into a new, prime fixed-income asset class. Combining institutional-grade capital with specialized deployment infrastructure, Cenotian enables OEMs to scale globally without balance-sheet exposure while providing investors access to a novel, high-quality asset category.

Job Description

You will own the end-to-end finance product experience, transforming underwriting judgment into scalable machinery for robotics financing. You’ll build Cenotian’s core data ontology and risk model stack, utilizing SQL and Python to turn deal intake into auditable, automated outcomes. This is a high-slope role for a builder-investor bridging finance and engineering.

Location

London, UK

Why this role is remarkable

  • Shape the intellectual framework and risk identity of a category-defining platform for the world's first asset-backed robotics financing.
  • Scale rapidly with Tier-1 institutional equity and debt backing in an explosive market comparable to the early days of data centers.
  • Enjoy outsized influence at an inflection point, building proprietary data moats that surpass traditional institutional architecture without operational burden.

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.

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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 Will Do

  • Own the entire deal lifecycle from intake to contracting, industrializing judgment into an exception-driven, automated finance-grade product experience.
  • Build and maintain the compounding data ontology and core risk model stack, including ontological warehouses and machine-readable contract primitives.
  • Directly prototype decision-support systems and automation tools using Python and AI to remove manual work while maintaining investor-grade auditability.

The ideal candidate

  • Possesses 5-7 years of experience in high-velocity investment roles, management consulting, or structured finance with a strong quantitative STEM foundation.
  • Demonstrates technical leverage, capable of querying data directly, shipping code for internal tools, and reasoning about complex data systems.
  • Displays founder-grade ownership and an operator mentality, with the ability to translate ambiguous financial problems into crisp, repeatable execution machinery.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

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And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

Jack's an AI agent for job searching and career coaching. He works for you. Jill is the AI recruiter working for the company. She recruits from Jack's network. If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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Skills

SQL
Python
Data Ontology
Risk Model
Automation
Decision-Support Systems
Investment Roles
Management Consulting
Structured Finance
Quantitative Analysis
Technical Leverage
Data Systems
Financial Problems
Execution Machinery

Location

London, England, United Kingdom

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