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Company Description
Verifex is an API-first compliance platform focused on sanctions screening, PEP checks, KYB, and audit-ready evidence for regulated businesses. The company enables fintechs, payment providers, crypto platforms, and compliance teams to screen people and organizations against global watchlists, assess ownership risk, and preserve a clear audit trail for every decision. Verifex is built for teams that require rapid integration, explainable risk assessments, and reliable compliance operations. By eliminating the need to build screening infrastructure in-house, Verifex helps customers move faster while maintaining rigorous regulatory standards.
Role Description
The Founding AI Engineer role is a remote contract position responsible for designing, implementing, and iterating on core AI components of Verifex’s compliance platform. Day-to-day work includes developing and deploying machine learning models for pattern detection and risk evaluation, integrating neural network and NLP capabilities into existing API services, and collaborating with product and engineering teams to define technical requirements. The role also involves building scalable data pipelines, improving model performance and explainability, and ensuring AI systems meet regulatory, reliability, and security expectations. As a founding contributor, this role will influence architecture decisions, establish best practices, and help shape the long-term AI roadmap.
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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Graduate Consultant — 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.
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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.
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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Qualifications


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- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and production-grade systems.
- Experience with Neural Networks and Pattern Recognition for real-world applications, ideally in risk, fraud, or compliance contexts.
- Hands-on expertise with Natural Language Processing (NLP), including entity extraction, text classification, and working with unstructured data.
- Proficiency with modern ML frameworks and tooling (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn) and cloud-based deployment environments.
- Experience designing and consuming APIs, and building reliable, testable integrations between ML services and backend systems.
- Ability to work autonomously in a remote, fast-paced early-stage environment, with clear communication and collaborative problem-solving skills.
- Background in compliance, financial services, or related domains is a plus, along with familiarity with sanctions, KYC/KYB, or watchlist screening.
- Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
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