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- Tasks: Design and scale trading strategies while analysing market patterns and inefficiencies.
- Company: Join a prop-trading firm that blends startup agility with high-performing fund resources.
- Benefits: Enjoy 35 days of vacation, 100% paid sick leave, and top-tier equipment.
- Why this job: Be part of an innovative team where your ideas matter and professional growth is encouraged.
- Qualifications: 2-5 years in prop trading, strong coding skills in C++ or Rust and Python required.
- Other info: Work in a dynamic environment with mental health support and flexible work options.
The predicted salary is between 48000 - 84000 ÂŁ per year.
2 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.We are a prop-trading company that combines the agility of a startup with the resources of a high-performing fund. Our team is focused on developing cutting-edge strategies, and working with us means not just advancing technology, but also being part of a team where ideas are valued, professional growth is encouraged, and every member has the opportunity to unlock their full potential.We are looking for an experienced specialist with proven experience in Quantitative Research, including intraday trading.What You\’ll Be Doing:Designing and scaling strategies across various investment decision horizons — from seconds to several daysGenerating ideas based on analysis of market microstructure, correlations, behavioral patterns, and inefficienciesProposing and improving tools for backtesting, cross-validation, risk management, and PnL analysisContributing to the development and fine-tuning of execution infrastructure, including order routing, slippage models, and latency sensitivityContinuously adapting strategies to changes in market conditions and exchange infrastructureRunning fast iteration cycles: generate → test → deploy → refine (with structured post-mortems)RequirementsExperience:2-5 years of experience at a prop trading firm or internal quant desk 2.0 on real accountsOwnership of a complete alpha or tech stack — from idea generation to executionHands-on experience working with real-time data feeds, tick data, and low-latency infrastructureSkills & Education:Expertise in high-frequency or medium-frequency alpha generationSolid understanding of market microstructure, latency arbitrage, and order book dynamicsExperience with real-time strategy automation and risk controlsStrong coding skills in C++ or Rust and Python, with the ability to write production-grade low-latency codeProficiency in feature engineering and signal combination to maximize information ratio (IR)Experience with backtesting frameworks — either in-house or open-source (e.g., bt, Zipline, or others)Master\’s or PhD in a quantitative field such as Physics, Mathematics, Computer Science, or a related disciplineLanguages: Russian, EnglishNice to have:Understanding of options pricing modelsExperience with machine learning, deep learning, or reinforcement learning (ML/DL/RL) techniquesStrong communication skills, with the ability to explain complex technical ideas to both technical and non-technical stakeholdersBenefitsCulture of Innovation: An open, dynamic, and inclusive environment where your ideas matterFlexibility & Impact: Enjoy the freedom of a startup with the backing of a well-resourced fundHigh Impact: Work directly on projects that shape strategies and drive the fund\’s success35 Days of Vacation – Plenty of time to rest and recharge100% Paid Sick Leave – Recover without financial worriesTop-Tier Equipment – Choose the tools that suit you best (within budget)Corporate Psychologist – Mental health support when you need itSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionResearchIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at ALT Fund by 2xSign in to set job alerts for “Quantitative Trader” roles.Boston, England, United Kingdom 2 days agoLondon, England, United Kingdom 2 weeks agoQuantitative Researcher (Hedge Fund, Institutional branch)London, England, United Kingdom 1 week agoAlgorithmic Equity Trader (Job Onsite based in Dubai)Greater London, England, United Kingdom 1 week agoSenior HFT Quantitative Trader/Researcher – Digital Assets (EU Remote)City Of London, England, United Kingdom 3 weeks agoQuantitative Researcher – Digital Assets Liquidity (EMEA Remote)City Of London, England, United Kingdom 3 weeks agoQuantitative Developer – Rust (Ref: 15a27)London, England, United KingdomÂŁ150,000.00-ÂŁ175,000.0013 hours agoBirmingham, England, United Kingdom 2 days agoSt Albans, England, United Kingdom 2 days agoSenior Quantitative Developer (UK, Poland, HK, Singapore or FranceLondon, England, United Kingdom 1 week agoAI Research Scientist (Sequential Decision Making)London, England, United Kingdom 1 week agoRemote Bayesian Data Scientist -Series C HealthTechLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 month agoCofounder of a climatech startup – Full Stack Developer/Data ScientistWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Quantitative Trader (Prop Trading) employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader (Prop Trading)
✨Tip Number 1
Network with professionals in the prop trading industry. Attend relevant meetups, webinars, or conferences where you can connect with current traders and learn about their experiences. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Stay updated on market trends and developments in quantitative trading. Follow industry news, subscribe to relevant journals, and engage in online forums. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 3
Showcase your coding skills by contributing to open-source projects or developing your own trading algorithms. This practical experience can set you apart from other candidates and provide concrete examples of your abilities during discussions with us.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative trading. Use platforms like LeetCode or HackerRank to sharpen your skills, focusing on low-latency coding and algorithm optimisation.
We think you need these skills to ace Quantitative Trader (Prop Trading)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research and trading. Focus on your achievements in previous roles, especially those related to high-frequency trading and strategy development.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative trading and how your skills align with the company's goals. Mention specific strategies or tools you've worked with that relate to the job description.
Showcase Technical Skills: Clearly outline your coding skills in C++, Rust, and Python. Provide examples of projects where you wrote low-latency code or automated trading strategies, as this is crucial for the role.
Highlight Problem-Solving Abilities: Discuss instances where you've successfully adapted strategies to changing market conditions. This demonstrates your ability to think critically and respond to dynamic environments, which is essential for a quantitative trader.
How to prepare for a job interview at JobLeads GmbH
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in quantitative research and trading strategies. Highlight specific examples of how you've designed and scaled strategies, and be ready to explain the methodologies you used.
✨Demonstrate Technical Proficiency
Since strong coding skills are essential for this role, ensure you can talk about your experience with C++, Rust, and Python. Be ready to discuss any production-grade low-latency code you've written and how it contributed to your previous projects.
✨Understand Market Microstructure
Familiarise yourself with concepts like latency arbitrage and order book dynamics. During the interview, be prepared to explain how these concepts influence your trading strategies and decision-making processes.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, especially when discussing backtesting frameworks or risk management tools you've developed.
