HFT Quant Researcher

JR United Kingdom; City Of London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Une entreprise de trading de haute fréquence mondialement reconnue recherche un chercheur quantitatif senior pour développer des stratégies à haute fréquence. Le candidat idéal possédera un diplôme dans une discipline quantitative et démontrera une expertise en développement de modèles. Le poste offre des compensations compétitives, des primes basées sur la performance et une culture collaborative exigeante.

Benefits

Compensation compétitive et primes basées sur la performance

Soutien à la relocalisation vers New York ou l'Europe

Culture informelle mais intellectuellement exigeante

Avantages de premier plan, y compris le soutien à la garde d'enfants

Qualifications

• Exceptionnels candidats avec un parcours académique et professionnel remarquable.
• Expérience avérée dans le développement de modèles quantitatifs.
• Proficiencies en Python ou C++, en mettant l'accent sur le calcul haute performance.

Responsibilities

• Développer et optimiser des stratégies de trading à haute fréquence.
• Collaborer avec les équipes d'ingénierie pour créer des systèmes de trading évolutifs.
• Mentorer des chercheurs juniors et encourager une culture d'excellence technique.

Skills

Analytical Thinking

Problem-Solving

Programming (Python or C++)

Statistical Analysis

Education

Master’s or PhD in Mathematics, Physics, Computer Science

Job description

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HFT Quant Researcher, london (city of london)

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Client:

Barclay Simpson

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

27.06.2025

Expiry Date:

11.08.2025

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Job Description:

Join a globally renowned high-frequency trading firm and a highly respected, multi-strategy hedge fund at the forefront of systematic and quantitative research. We are looking for exceptional senior quant researchers/traders to join our systematic trading strategies team in New York City, London or Europe.

Competitive compensation & performance-based bonuses

Your Role:

As a Senior Quantitative Researcher, you will lead the development and optimization of high-frequency trading strategies in traditional financial markets. You will work closely with world-class engineers, quants, and traders to solve complex real-time challenges using advanced quantitative techniques and cutting-edge technology.

Key Responsibilities:

• Develop and optimize systematic, high-frequency trading strategies.
• Conduct quantitative research to uncover market inefficiencies and improve model robustness.
• Collaborate with engineering teams to build scalable, low-latency trading systems.
• Leverage machine learning and statistical methods to enhance signal generation and performance.
• Mentor junior researchers and foster a culture of technical excellence and collaboration.

Who We’re Looking For:

• Exceptional candidates with an outstanding academic and professional track record.
• A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university.
• Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis.
• Strong analytical and innovative thinking skills, with demonstrated proficiency in numerical and statistical tools for signal development.
• Hands-on problem-solvers who thrive in a collaborative, meritocratic environment marked by intellectual rigor and informality.
• Proficiency in Python or C++, with an emphasis on high-performance computing and market microstructure.

Why Join?

• Work on cutting-edge strategies within a highly respected global trading firm.
• Join a collaborative, high-performance team of top-tier talent across quant, engineering, and trading.
• Competitive compensation, performance-based bonuses, and industry-leading benefits—including childcare support.
• Full relocation support to New York or Europe.
• An informal yet intellectually demanding culture that values innovation, impact, and autonomy.