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Nevis Wealth

Forward Deployed Engineer

London
Posted about 16 hours ago
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About Nevis

Nevis is building the world’s first AI wealth management platform. In just 9 months, Nevis has grown to have over $50 billion of assets under management on its platform and is on track to have over $100 billion by the end of this year.

Nevis is also backed by world-leading investors and has raised a total of $40 million from Sequoia Capital, ICONIQ, and Ribbit. Together it makes Nevis one of the highest-funded and fastest-growing Series A startups in Europe.

The Role

We are looking for a Forward Deployed Engineer to be the technical counterpart for our customers and make sure every implementation succeeds.

When one of the largest wealth management firms in the country decides to run on Nevis, you are the engineer in the room with them. You learn how their business actually works, translate that into what we build and configure, and own the technical side of the deployment from the first workshop to a platform their advisors use every day. You work with their engineers, their operations team, and their vendors, and you stay their technical point of contact long after go-live.

The work spans whatever the deployment needs: integrations with the systems they already run, getting their data into our platform, configuring and deploying AI agents and workflows against their real processes, prototyping fast to show what is possible, and being the person who diagnoses it when something does not behave the way anyone expected.

You will be trusted by the customer and relied on internally, so two things have to be true at once. You have to be precise, because these firms make decisions on the numbers we show them. And you have to move fast with whatever tools get you there, because the problems are novel and nobody is handing you a specification.

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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?

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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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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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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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What You’ll Do

  • Own the technical side of enterprise deployments end to end, from initial scoping through go-live and expansion
  • Be the customer's main technical point of contact, working alongside their engineers, operations teams, and leadership
  • Understand how each firm operates deeply enough to translate their workflows into what Nevis builds, configures, and automates for them
  • Design and deliver the integrations and data flows a deployment depends on, working with our engineering teams to make the pipes right
  • Configure and deploy AI agents and automated workflows against real customer processes, and tune them until they hold up in production
  • Build prototypes and demos fast, so customers can see what is possible before anyone commits to building it
  • Diagnose and resolve technical issues in live deployments, and be honest with customers about what the platform can and cannot do
  • Partner with Deployment Strategists on the commercial relationship, giving them the technical grounding that wins and grows accounts
  • Feed what you learn in the field back into the product, shaping the roadmap so every future customer inherits it

Who You Are

  • You have 3+ years in a forward-deployed, solutions engineering, technical implementation, or similar customer-facing engineering role at a high-growth technology company
  • You are a strong engineer. Python and SQL are second nature, and you are comfortable working across systems, APIs, and messy real-world data
  • You have put LLMs and agentic tooling into production, and you have judgment about where they are reliable and where they are not
  • You build fast. You would rather ship something working and iterate than design something perfect on paper
  • You are precise about numbers. You know the difference between an honest "the data cannot answer that" and a confident wrong answer, and you know which one costs more
  • You communicate exceptionally well with people who are not engineers. You can walk a COO through what you built and where it is weak without losing them
  • You have low ego and high ownership. You do what needs to be done, and the outcome matters more than the credit
  • You are comfortable with ambiguity, and you bring clarity to unstructured problems rather than frustration
  • You are happy to travel and work onsite with customers
  • STEM degree from a top university, or equivalent demonstrated experience

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Nice to Have

  • Prior experience in wealth management, financial services, or fintech
  • Familiarity with the US RIA landscape, including how large advisory firms are structured, regulated, and operated
  • Experience with data integration, pipelines, or systems migration at enterprise scale
  • You are at the frontier of using LLM-powered workflows in your day-to-day work, with hands-on fluency across tools like Claude, ChatGPT, Cursor, or similar

Why Join Nevis?

  • Work alongside a high-calibre founding team backed by some of the best investors in the world
  • A fast-paced, high-growth environment with the opportunity to shape how the business operates
  • Be part of a mission-driven company transforming the wealth management industry with huge potential for global impact
  • 25 days’ annual leave & Bank Holidays
  • Private medical insurance
  • Competitive salary and benefits package, including company equity
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Skills

Python
SQL
LLMs
Agentic tooling
Data integration
API development
Technical implementation
Customer-facing engineering
Systems migration
Prototyping
Workflow automation
Troubleshooting
Wealth management
Financial services
Fintech
Enterprise software

Location

London, England, United Kingdom

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