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7 дней назад

Graduate Quant Researcher 2027 London (Quantitative Trading)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Graduate Quant Researcher 2027 London (Quantitative Trading): Designing and improving automated trading algorithms, quantitative pricing models, and volatility models for options and derivatives market making with an accent on quantitative analysis and financial-market research. Focus on analysing real-world trading data, testing new trading opportunities, and applying emerging AI technologies to quantitative research.

Location: London, United Kingdom

Company

Proprietary trading firm using sophisticated technology and quantitative analysis to trade global financial markets, with a focus on options and derivatives market making.

What you will do

  • Design, evaluate, and continuously improve automated trading algorithms.
  • Build quantitative pricing models, including American option pricing and volatility modelling.
  • Research and analyse trading data to identify and test new trading opportunities.
  • Apply academic research skills to real-world data with varied volume, sampling frequency, and domain characteristics.
  • Progress through a structured seven-week training and onboarding programme before transitioning into a permanent quantitative research position.

Requirements

  • Current Bachelor’s, Master’s, or PhD student in applied mathematics, statistics, engineering, or physics.
  • Programming experience in at least one of Python, C++, or C#.
  • Proactive interest in improving trading strategies and identifying new opportunities.
  • Motivation to work in quantitative research, financial services, and trading, with knowledge of financial markets.
  • Ability to analyse complex information, make decisions, learn quickly, collaborate, and take accountability for outcomes.
  • Fewer than three years of professional work experience.

Nice to have

  • Interest in adopting and using emerging AI technologies.

Culture & Benefits

  • Dedicated in-house technical and professional training, with regular feedback, review points, and support from a Maven buddy.
  • Annual learning and development budget and access to an online learning platform.
  • Inclusive workplace with employee resource groups and recruitment support where needed.
  • 25 days of annual leave plus UK bank holidays, private medical and dental cover, pension contributions, life assurance, and an Employee Assistance Programme.
  • Daily breakfast and lunch at the London office, social events, family-friendly leave policies, season ticket loan, cycle-to-work scheme, and relocation assistance.
  • Visa sponsorship is available for selected roles.

Hiring process

  • Applications are reviewed on a rolling basis.
  • Only one application is accepted per candidate in each recruitment cycle.

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