Internal Recruitment - HFT/Systematic Trading
DeepFin is a systematic proprietary trading firm combining deep learning, traditional quantitative research methods, and cutting-edge trading technology, to trade global markets. Founded by engineers and researchers, we build and deploy advanced trading systems that operate across global markets.
Our team is lean, highly technical, and impact-driven - every hire plays a direct role in shaping the firm’s technology, strategy, and performance. We value curiosity, precision, and collaboration, and we’re building an environment where exceptional people can do their best work at the intersection of AI and financial markets.
The Role
Core Responsibilities
- Own technical sourcing across key roles, from taking briefs with leadership through to mapping the market, identifying candidates, managing outreach, and supporting candidates through the process.
- Build strong pipelines across AI, machine learning, quantitative research, low-latency engineering, C++, Java, trading systems, and infrastructure.
- Use a range of sourcing channels, including direct headhunting, LinkedIn, GitHub, referrals, research networks, universities, specialist communities, and competitor mapping.
- Work closely with hiring managers to understand role requirements, calibrate candidate quality, and provide useful market feedback.
- Track candidates and pipelines properly, including outreach activity, conversion, feedback, bottlenecks, and next steps.
- Help improve our sourcing processes, outreach templates, interview structures, scorecards, candidate notes, and reporting.
- Represent DeepFin to candidates in a way that is credible, selective, and clear about the level of technical ambition here.
- Build long-term relationships with strong candidates, even where the timing is not immediately right.
What We Require
- 4+ years of experience in technical recruitment, talent sourcing, executive search, agency recruitment, or another role involving direct outreach and relationship management.
- Experience recruiting technical candidates, ideally across HFT, systematic trading, hedge funds, AI, machine learning, low-latency engineering, C++, Java, infrastructure, or quantitative research.
- A proactive sourcing mindset. You do not wait for applicants - you map markets, identify strong people, and approach them directly.
- Strong judgement and the ability to understand what makes a technical candidate stand out in a specialist environment.
- Clear, direct communication with candidates, hiring managers, and senior leadership.
- High standards for detail, organisation, process, and follow-through.
- Comfort speaking with highly technical candidates and learning enough about specialist roles to represent them properly.
Helpful, but Not Required
- A background in computer science, software engineering, quantitative research, or another technical field.
- Experience sourcing from HFT firms, systematic trading firms, hedge funds, AI companies, high-growth technology firms, or strong engineering teams.
- Familiarity with LinkedIn Recruiter, Boolean search, GitHub, applicant tracking systems, technical communities, research publications, or university networks.
- Experience building candidate pipelines or sourcing processes from scratch.
Logistics & Working at DeepFin
- Location: London or Jersey.
- Work model: Hybrid.
DeepFin is a small, ambitious firm with high standards. We value people who are direct, thoughtful, hard-working, and serious about building something exceptional.
This role offers meaningful ownership from the start. You will help build the technical hiring function properly and play a direct role in attracting the engineers and researchers who will shape the next stage of DeepFin.
If you’re passionate about applying advanced technology to real-world markets and want to work alongside a focused, high-performing team, we’d love to hear from you. DeepFin offers a collaborative, research-driven environment where ideas move quickly from concept to execution and where every contribution has visible impact.
Join us in building the next generation of deep-learning-driven trading systems - shaping the future of finance through innovation, rigour, and technology.
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