Wave Group
Software Engineer

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Job Title: Software Engineer
π° Salary: up to ~Β£100k (+ very generous early-stage equity, ~Β£80k)
π Location: Central London, EC1 (3 office day/week)
π¦ Company: B2B FinTech / Fraud Prevention
π₯ Employees: ~30
πΈ Funding: $15m+ (Series A)
This London startup is building a new intelligence layer designed to bring more context and security to digital payments. Their technology analyses transactions in real time, gathering signals from multiple sources to determine whether a payment is legitimate or potentially fraudulent.
The platform combines distributed data systems, real-time investigations and AI-driven decisioning to help financial institutions detect scams while allowing legitimate payments to flow without unnecessary friction. Within 2 years of being founded, they're working with most Tier 1 banks and payment providers in the UK - and are about to launch in the US! π
Hiring a Software Engineer to join the core product team building the investigation engine itself β the APIs and UI that plug into bank payment flows, the integrations that pull in evidence from clean and messy sources alike, and the AI agents that reason over that evidence to make a real-time call. This isn't a "build to spec" role: most of the evidence this system needs doesn't come from clean APIs, so a big part of the job is deciding what "good" looks like and owning the consequences of that call. AI here isn't a feature bolt-on β engineers are actively building and shipping the LLM-powered agents that drive the investigation itself.
Reasons to use Rodeo
Iβm in my final year doing Economics and I donβt know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer β it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) donβt need a masters. Letβs look at the ones youβd 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 β that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant β 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
Youβve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon β 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 β 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 β and where to focus when applying.
Must have requirements:
- Strong backend engineering background (Python and/or Kotlin, or similar) with real production experience on fault-tolerant, distributed systems
- Comfortable owning ambiguous problems end-to-end, from a loose spec through to something shipped, observed and iterated β without a big team or heavy process to lean on
- Genuine hands-on experience building with AI agents / LLM orchestration in production β not just using AI coding tools, but shipping agentic systems that make live decisions
- Product instinct β you ask "who's this for, what's the smallest useful thing I can ship" rather than just executing the ticket
- Comfort working with sensitive or regulated data, with a real understanding of data governance
- At least 3-4 years experience shipping production software


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Bonus points for:
- Fintech, payments, or other regulated-industry experience
- Frontend comfort in TypeScript/React (full-stack leaning backend experience)
- Early-stage startup experience
- Experience integrating messy, unstructured or third-party data sources (scraping, semi-documented APIs)
Not ticking every box? Research shows women and under-represented candidates are less likely to apply if they don't meet 100% of a spec β please apply anyway, or drop me a note to discuss fit.
π Visa sponsorship available if needed.
βIt 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 Iβve been looking for.β
Jessica, London
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