Quality cannot be crowdsourced.

The hard part of this domain is not volume. It is judgment, and judgment does not come off an assembly line.

We are a novel lending business, built in the shape of what a financial institution should look like in the age of AI: data and judgment at the core, not bolted on. That is also what lets a lender reach the companies the market overlooks. Across Europe, sound mid-market businesses go underfunded because the credit work costs much the same whether the loan is small or large. We are building to widen access to corporate credit, not ration it.

We are drawn to the problems that have no answer key. Every business is, underneath, a data business, most of all the ones where nothing is easy to verify and no formula settles the question. Finance is the sharpest version of that: its judgment lives in the grey area, where experienced people disagree and only time proves who was right. That is exactly what today's models lack, and it is why the data business exists: the work itself, turned into something a model can learn from.

01 · Open roles

Small team working on the hardest problems in institutional finance, across lending and AI. We hire by introduction or from shipped work.

4 open · rolling intake

Product Engineer — Lending Remote · SF, NY, LDN or STHLM open apply →

We run a lending business, and the software behind it is built in-house. We look for three things in an engineer: the ability to understand the financial mechanics, the craft to build the system properly, and the temperament to stand behind it when real money runs through it. The particular stack has never made anyone good; thinking clearly has. We can teach you lending, but we have never once taught anyone to be curious. Show us something you built because you could not leave the problem alone.

Research Engineer — AI Remote · SF, NY, LDN or STHLM open apply →

We turn hard financial problems into work that machines can be trained and measured on. The first rule here is not fooling yourself, and in this job you are the easiest person to fool. So we want people who measure carefully, distrust their own results, and can defend a number line by line. Any background will do if you can show us one thing you got right and know exactly why. Volume has never impressed us; being right has.

Investment Engineer — Front office Remote · SF, NY, LDN or STHLM open apply →

Most people pick a side early, finance or software, and spend a career defending the choice. This front-office seat is for someone who refused: you work real deals, then build the tools that make the next one sharper. We do not much care where you started; we care what you can do on both sides of the fence. Worldly wisdom — a latticework of models from more than one discipline — is the whole job.

Strategic Projects Lead Remote · SF, NY, LDN or STHLM open apply →

This seat runs our most important partnerships and the projects that fit no org chart. The method is the one that built every durable reputation: know the work cold, say the true thing plainly, and never promise what you cannot back. We are selective because a reputation takes years to build and five minutes to lose. We want a builder of trust rather than a runner of playbooks; incentives and follow-through beat charm over any period longer than a lunch. Tell us about a partnership you ran where both sides came back for more.

The role we have not written yet Remote · SF, NY, LDN or STHLM always open apply →

Good people rarely fit the boxes someone else drew. If none of the roles above describes you but the work does, tell us who you are and what you would build here, and we would rather write a role around the right person than lose them to a job title. The bar does not move: creativity, technical depth, and the habit of thinking for yourself. The process is the same: application, project, then a paid week inside the team.

02 · Hiring

Short application. A real project. Then a paid week working inside the team. We test extensively. The project shows how you think, the week shows how you fit the culture, and the offer follows the week. No cover letters.

03 · Apply

One application is enough: we consider it for every open role and find the best fit, so there is no need to apply twice. If other roles interest you, say so in the note. We read every one; expect a reply within a week.

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Thank you. A real person reads every application, and you can expect a reply within a week.

If you are training on finance data, or you have deals to put to work, we will scope it with you directly.

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