Quantitative Researcher Graduate

Graduate Quant Researcher Programme London 2027

Maven Securities is a leading proprietary trading firm that leverages sophisticated technology and quantitative analysis to trade in global financial markets. We specialise in options and derivatives market making, where your skills can be directly applied to have a real impact.

At Maven, we believe exceptional careers are built deliberately. Our graduate programme is designed for a small number of high-potential individuals each year, combining comprehensive training, real responsibility, and long-term development. We don’t hire large classes with the expectation that only a few will succeed, we invest in every individual who joins the team.

Programme details:

• Location: London
• Programme start date: September 2027
• Application deadline: Rolling basis

You’ll begin with a structured 7-week training programme, designed to prepare you for a career in quantitative research. This initial phase focuses on building the technical foundations and professional skills needed for the role, as well as forming crucial working relationships with the rest of your cohort.

What you will be doing:

• Design, evaluate and continuously improve our automated trading algorithms
• Build quantitative pricing models, for example American Option Pricing and Volatility Modeling
• Research and analyse trading data to find and test trading opportunities

How and what you will learn:

• Progress through a structured onboarding programme with clear learning milestones
• Build your foundation through theory and exercise-led training, led by Maven’s Head of Technology Training & Graduates
• Learn about financial markets, our platforms and specific quant research field for OMM, apply your academic research abilities and learn how to perform research on real-world data of varied volume and sampling frequency across a variety of domains
• Attend regular check-ins with the Quant Researcher and Emerging Talent teams

Who you are:

Key criteria:

• A Bachelor’s, Master’s or PhD student in applied mathematics, statistics, engineering or physics 
• Relevant programming experience in at least one language (Python, C++, C#)
• Proactive interest in improving existing trading strategies and identifying new opportunities
• Motivated for quantitative research, financial services and trading, with knowledge of financial markets 
• A willingness to adopt and utilise emerging AI technologies

We’re looking for someone who is:

• An entrepreneurial thinker with the ability to generate ideas, take initiative and drive innovation
• A critical problem solver and decision maker who can analyse situations, think clearly and make effective decisions
• An agile learner who is able to quickly acquire knowledge, take on feedback, adapt and apply insights across different contexts
• Able to synthesise information, resolve conflicting inputs, see the bigger picture, and translate complex information into actionable recommendations
• Collaborative and influential, able to build trust, work effectively with others and positively impact the team
• Results-focused and accountable, taking ownership and delivering outcomes reliably

Why Maven?:

• Dedicated In-House Trainers: Gain the tools to succeed in a rapidly evolving market, where AI is integral to our strategy and daily operations. Our tailored curriculums are led by in-house experts and cover both technical and professional skills, as well as guidance on how to adopt AI best practices
• Accelerate Your Career: Every permanent colleague receives a dedicated learning and development budget, full access to our online learning platform, and frequent training sessions led by our Maven experts
• Proven Pathways: Benefit from our structured pipeline programmes that set you up for long-term success. Around a quarter of Maven’s workforce joined through an Emerging Talent Programme, with many staying from Spring Week through the Graduate Programme and beyond
• Supported to Succeed: We are committed to fostering an inclusive workplace where everyone can perform at your best. We offer recruitment support where needed, and employee resource groups that help build community across the firm
• Grow with Guidance: Enjoy regular feedback, structured review points, and informal off-desk chats. Everyone in our Emerging Talent Programmes is also paired with a Maven buddy for practical advice and day-to-day support
• Make a Real Impact, Fast: From the start of the projects, you’ll be embedded in the team and learn directly from other Quant Researchers. After this, you’ll transition onto a permanent position within the team, where you’ll continue building upon the skills taught in the programme

Please note:

• We accept one application per candidate, per recruitment cycle
• Visa sponsorship is available for selected roles, please see our FAQ page for details

Maven is an equal opportunity employer. We are committed to building a diverse workforce and creating an inclusive environment. We welcome applications from all candidates regardless of background or identity.

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Benefits at Maven:

As a graduate joining Maven, you’ll be eligible for a range of benefits, including:

• 25 days of annual leave plus UK bank holidays
• Frequent social events, from welcome dinners and summer parties to immersive arcade games and end of programme celebrations!
• An annual learning and development budget, alongside wider training and development opportunities
• Daily breakfast and lunch in the London office, plus snacks and drinks throughout the day
• Private medical and dental cover, eye care support, life assurance, employer pension contributions and an Employee Assistance Programme Consideration for a discretionary annual bonus
• Additional support including relocation assistance, a season ticket loan and cycle to work scheme
• Enhanced family-friendly policies, including maternity, paternity, adoption, fertility and partner’s leave
• Work in a forward-thinking environment where AI is integral to our strategy and daily operations  

Please note, this position is aimed at those who have fewer than 3 years professional work experience - if you have any questions regarding eligibility, please contact [email protected]