National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Associate Recruiter - Quantitative Trading

Algo Capital Group
London
1 week ago
Applications closed

Related Jobs

View all jobs

Service Demand Planning Associate

Associate - Transaction Services

Associate Data Analyst

Quantitative Analysis - Market Risk - Associate Director

Lifecycle Senior/Associate Cost Consultant

Technical Mobilisation Coordinator

Associate Quantitative Trading Recruiter Algo Capital is recruiting a Associate Quantitative Trading Recruiter to join our team.

Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.

We are a collaborative, technology-driven, and diversified search firm, with a primary focus on attracting top industry talent for a range of the most pioneering Hedge Funds, global trading firms, and Asset Management Companies across London, Singapore, Hong Kong, Dubai, NYC, Chicago, and Miami.

As a scale-up business with an agile, collaborative approach we are focused on providing the best possible experience for all prospective candidates and clients we work with.

The successful candidates will be executing key recruitment mandates in Quantitative Trading and Research.

Placing candidates into the world's leading companies: hedge funds, proprietary trading, asset managers, private equity, and family offices.

Skills Required: 1 years preferred Recruitment sector experience; trading, technology, quantitative research, quantitative trading.

Resilience and ambition.

Strong presentation and phone skills.

Excellent writing and analytical skills.

Tech-savvy can work with various platforms and technologies.

Understand the principles of data, automation, analytics, and how that drives business.

Be able to work in a scalable work environment where no two days are the same.

We want to work with people who are excited to come to work and to be part of a business that strives to adapt and grow, and join a collaborative environment having fun along the way.

Why join us? High Autonomy

  • run your own desk Competitive base salary and uncapped commission structure Comprehensive recruitment, sales, and industry knowledge training Access to cutting-edge AI & Machine Learning CRM Platform Extensive resources and support to ensure successful results for our teams Collaborative and thriving company culture with employee-led communities and social events Low admin, allowing focus on high-value, revenue-generating activities Access to an excellent, high-caliber client base and industry reputation High-growth career path for delivery, business development, and 360° recruitment roles Merit-based promotions with no glass ceilings; we invest in our people Due to a huge client demand, we are expanding, and this is a hot desk with many senior specialist vacancies and to further develop quickly.

    Please apply now to learn more.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.