At a Glance
- Tasks: Lead the recruitment process for Quantitative Engineering and Algorithmic Trading roles.
- Company: Join a dynamic FinTech company focused on innovation and diversity.
- Benefits: Competitive salary, bonuses, wellness perks, and generous vacation policy.
- Other info: Enjoy a collaborative culture with excellent career growth opportunities.
- Why this job: Shape the future of tech by attracting top talent in a fast-paced environment.
- Qualifications: 7+ years in recruiting, with expertise in quantitative engineering and high-frequency trading.
The predicted salary is between 80000 - 100000 £ per year.
WHAT YOU’LL DO:
- Own the specialized recruiting process from sourcing to complex offer negotiations for Quantitative Engineering and Algorithmic Trading positions.
- Develop high-level strategies to meet aggressive hiring goals, working alongside Engineering Leads to align technical priorities and performance objectives.
- Plan out-of-the-box sourcing strategies to attract elite talent from niche environments like Kaggle, GitHub, ArXiv, competitive programming forums (Codeforces), and quantitative finance conferences (NeurIPS, ICML).
- Ensure a white-glove candidate experience, keeping sophisticated candidates advised and well-prepared for rigorous technical assessments throughout the entire process.
- Partner with hiring managers to deeply understand the nuances of specific quant stacks, modeling requirements, and performance engineering needs.
- Own and drive the intake meeting, interview team kick-off, and technical debrief process to ensure a data-driven hiring bar.
- Deliver weekly performance analytics and progress reports to hiring managers and senior leadership.
WHAT YOU'LL BRING:
- 7+ years of proven experience in recruiting, with at least 3+ years specifically focused on Quantitative Engineering, High-Frequency Trading (HFT), or Machine Learning talent.
- A blend of agency (specialized search) and in-house startup experience is preferred to navigate both high-volume and high-touch environments.
- Strong sourcing skills with a proven track record of converting passive, highly-compensated talent into hires.
- Experience using niche channels to source candidates, including math Olympiads, research labs, and diversity-in-STEM academic events.
- Self-starter mentality who thrives in a fast-paced, collaborative environment with exceptional organizational precision.
- In-depth knowledge of the quantitative tech stack, including proficiency in discussing C++, Python (NumPy/Pandas), Rust, Low-Latency systems, and Distributed Computing.
- Experienced Bay Area or Financial Hub recruiter with extensive knowledge of the competitive landscape in FinTech and quantitative hedge funds.
- Expertise in the tools of the trade: Greenhouse (ATS), LinkedIn Recruiter, specialized sourcing tools (e.g., Entelo, SeekOut), and technical repositories like GitHub.
- Strong written and verbal communication skills, with the ability to "speak the language" of PhDs and elite engineers.
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
Take Care of Yourself
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Lead Technical Recruiter (Quant Engineering) London, UK employer: ripple
As a Lead Technical Recruiter at our London office, you will join a dynamic and inclusive work culture that prioritises employee well-being and professional growth. We offer competitive salaries, generous benefits including wellness reimbursements and industry-leading parental leave, and a collaborative environment where your expertise in Quantitative Engineering will be valued and nurtured. With a focus on innovative sourcing strategies and a commitment to diversity, we empower our employees to thrive while making a meaningful impact in the FinTech space.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Technical Recruiter (Quant Engineering) London, UK
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Quant Engineering space. Attend meetups, conferences, and online forums where top talent hangs out. The more people you know, the better your chances of finding that perfect candidate.
✨Tip Number 2
Leverage social media to showcase your company culture. Share behind-the-scenes content on platforms like LinkedIn or Twitter to attract candidates who resonate with your values. A strong online presence can make all the difference in drawing in elite talent.
✨Tip Number 3
Don’t underestimate the power of referrals! Encourage your current employees to refer candidates from their networks. People are more likely to trust recommendations from friends, so this can lead to some fantastic hires.
✨Tip Number 4
Keep the candidate experience top-notch! Communicate clearly and regularly with candidates throughout the hiring process. A smooth and respectful experience can set you apart and help you land those sophisticated candidates we’re after.
We think you need these skills to ace Lead Technical Recruiter (Quant Engineering) London, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Technical Recruiter role. Highlight your experience in Quantitative Engineering and any specific tools or methodologies you've used. We want to see how your background aligns with our needs!
Showcase Your Sourcing Skills:In your application, don’t just list your skills—show us how you’ve used them! Share examples of successful sourcing strategies you've implemented, especially in niche environments. This will help us understand your approach to attracting elite talent.
Communicate Clearly:Strong written communication is key for this role. Make sure your application is clear, concise, and free of jargon. We appreciate candidates who can 'speak the language' of both technical and non-technical stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at ripple
✨Know Your Quant Tech Stack
Make sure you brush up on the specific technologies mentioned in the job description, like C++, Python, and Rust. Being able to discuss these languages and their applications in quantitative engineering will show that you understand the role and can communicate effectively with technical candidates.
✨Master the Art of Sourcing
Familiarise yourself with niche sourcing channels such as Kaggle, GitHub, and competitive programming forums. Prepare a list of potential candidates from these platforms and be ready to discuss how you would approach them during the interview. This will demonstrate your proactive sourcing skills.
✨Prepare for Rigorous Assessments
Understand the types of technical assessments candidates might face in this role. Think about how you would guide candidates through these processes and ensure they feel prepared. This shows that you value the candidate experience and are committed to supporting them.
✨Showcase Your Data-Driven Approach
Be ready to discuss how you would use performance analytics and progress reports to inform hiring decisions. Highlight any past experiences where you've successfully implemented data-driven strategies in recruitment, as this aligns with the expectations of the role.