HI
quantitative trader researcher
- Hiring from
- United Kingdom
- Work type
- Hybrid
- Posted
- Sep 27, 2026
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updated 11 days ago
Quantitative Trader/Researcher Graduate Programme 2027
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Work format
hybrid
Work type
fulltime
Grade
trainee
b2
Country
UK/US
pythonc++machine learningquantitative tradingalgorithmic tradingmarket data analysis
Vacancy from Hirify Global, list of international tech companies
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Plus is required to make matches and apply
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This is a top-tier entry point into high-frequency trading at a world-class firm. The structured graduate program and clear expectations make it a gold mine for STEM PhDs and Masters.
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High pressureSalary not specifiedTop-tier domainModern stackStrong startClear scope
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Hirify AI/Original
TL;DR
Quantitative Trader/Researcher Graduate Programme 2027 (Quantitative Trading): Designing, implementing, and deploying high- and mid-frequency trading algorithms while researching strategies and analyzing market data with an accent on quantitative research, algorithm development, and analytical tooling. Focus on identifying market patterns, building computation libraries, and solving complex trading problems with Python and C++.
Location: London, United Kingdom. Hybrid working opportunities are available.
Company
Quantitative trading firm building electronic trading infrastructure, systematic trading strategies, and market research technologies for global financial markets.
What you will do
- Design, implement, and deploy high- and mid-frequency trading algorithms.
- Research and improve existing trading strategies with support from a dedicated mentor.
- Analyze market data to explore trading ideas and identify patterns.
- Create analytical tools for market data research.
- Contribute to libraries of analytical computations supporting market data analysis and trading.
Requirements
- Graduating in 2027 and interested in a six-month graduate programme.
- Master’s and/or PhD in mathematics, statistics, physics, electrical engineering, computer science, data science, financial engineering, or a related field.
- Strong Python and C++ skills.
- Strong problem-solving and communication abilities.
- Ability to manage multiple tasks in a fast-paced environment.
- Interest in new technologies and ideas.
Culture & Benefits
- Collaborative, welcoming, and results-oriented work environment with minimal hierarchy.
- Generous paid time off and regional savings plans.
- Hybrid working opportunities.
- Daily breakfast, lunch, and snacks.
- Wellness experiences, fitness reimbursements, sports teams, and fitness events.
- Workshops, continuous learning opportunities, social events, and volunteer programmes.
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