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Quant Researcher / Trader * Crypto HFT * London * £200,000 + bonus*. They are currently looking for strong Quantitative Researchers and Traders to join the team in London.

Quantitative Trader - London / Remote.

Summary A quantitative trader with several years of experience in a small, high-ownership pod structure, covering the full lifecycle of research, modelling, implementation, and daily trading decision-making. Strong record of generating new alpha ideas, improving model efficiency, and contributing to systematic trading strategies across global equities and related products. Core Strengths 1. Full-Stack Quant Experience • End-to-end exposure across research, quant development, and portfolio/trading decisions., • Comfortable with tight execution loops and taking ownership of full model pipelines., • Experienced in debugging production strategies and improving robustness. 2. Alpha & Feature Innovation • Regular contributor of new features, signals, and ML-driven model improvements., • Skilled at evaluating new data sources and optimising existing input pipelines., • Experience with feature engineering, cross-validation techniques, and model diagnostics. 3. Market Awareness & Risk Sensitivity • Background in systematic long/short equities across US and Europe., • Additional exposure to fixed income and market-making style risk management., • Strong intuition for differentiating model-driven losses vs. risk-management errors. 4. Technical Skills • Strong programming background (Python, C++/C#, or similar)., • Experience with production-grade ML workflows., • Familiar with distributed compute, model optimisation, and low-latency considerations. 5. Small-Team Versatility • Works in a 4-person pod—responsible for everything from research to deployment., • Able to operate independently with minimal structure., • Strategies: Systematic L/S equities, with some exposure to fixed-income signals and hedging activities., • Style: Medium- to high-frequency stat-arb ideas (non-HFT)., • Daily Activities:, • Monitoring model outputs, • Intraday adjustments to risk, • Evaluating PnL drivers, • Running daily research iterations, • Delivered multiple incremental improvements to alpha and risk models., • Designed or co-designed new ML-based components that fed directly into PnL improvements., • Improved data pipelines and feature computation speed, increasing research efficiency., • Seeking a more structured, high-performance market-making environment like Optiver., • Wants to work with stronger PMs/traders and avoid bottlenecks introduced by inconsistent risk management.

Quantitative Researcher - London / Remote. From pure research roles to trader-researcher hybrids.

Quantitative Researcher/ Trader. Share and discuss research results, methodology, data sets and processes with other researchers.

Develop systematic trading strategies.Manage risk and optimize performance.Research alpha using ML/statistical methods.Proven strategy development track record.Prop shops to multi-billion systematic funds.From boutique trading floors to established hedge funds—we'll find your fit.Apply now for con

Our client is a leading player in digital asset markets. About the Role They are seeking a DeFi Trader to help ideate, develop, and refine automated trading strategies across decentralized exchanges and multiple blockchain ecosystems. You will work with best-in-class trading infrastructure, a wide network of liquidity venues, and a highly collaborative internal DeFi team. The focus spans liquidity provisioning, principal trading, and passive yield strategies. A strong risk-management mindset and the ability to identify and model the unique risks within DeFi are essential. Responsibilities • Design and implement advanced automated trading algorithms for DeFi venues and across various blockchains., • Conduct rigorous research and quantitative analysis to enhance trading performance and improve risk frameworks., • Identify, validate, and test new trading signals through backtesting and data-driven evaluation., • Collaborate with quantitative researchers and technologists to build robust, scalable solutions for automated DeFi trading., • PhD or Master’s degree in Computer Science, Mathematics, Physics, Engineering, Quant Finance, or another technical discipline., • Experience with DeFi-focused trading strategies—professional or personal., • Strong understanding of DEX mechanics, blockchain fundamentals, protocol design, and smart contract risks., • Excellent analytical, logical reasoning, and problem-solving skills., • Ability to build tools and write code for processing and analyzing large datasets., • Proficiency in software engineering principles and coding best practices.

We are currently partnering with a high-performance Digital Assets Market Maker that is quietly fueling the Web3 ecosystem. They are looking for a full time Quant Trader to join their elite team. This isn’t just about executing trades; it’s about architecting the liquidity that powers the crypto economy. My client operates 24/7 with proprietary technology, ensuring efficient pricing across all venues. If you are a Quant who wants to move beyond "theoretical" models and into the fast-paced reality of live crypto markets, this is the role for you. 📍 The Setup • Location: Hybrid options in London 🇬🇧 or Dubai 🇦🇪., • The Team: Small, high-impact, and technically brilliant. 💻 What you’ll be doing You will be working directly on the trading desk, managing risk, and deploying capital. • Strategise: Researching and prototyping new strategies for both Centralised (CEX) and Decentralised (DEX) exchanges., • Optimise: taking ownership of existing strategies to squeeze out alpha and reduce risk., • Analyse: Digging into massive datasets (order books + on-chain metrics) to find inefficiencies. 🧠 What we're looking for • The Quant Mindset: exceptional grasp of probability, statistics, and modeling., • The Tech Stack: You must be highly proficient in Python (Pandas/NumPy)., • The Crypto Native: Deep interest in DeFi protocols, blockchain mechanics, and market dynamics., • The Bonus: Experience with Rust or Cython is a massive plus.

A leading international systematic trading firm is looking to bring on a talented mid level statistical arbitrage quantitative researcher/trader in London to help in the design, development, and implementation of systematic trading strategies. Alpha researcher from an equities/stat-arb background.

Quantitative Trader – Relative Value Volatility. CW Talent Solutions is pleased to partner with a leading global trading firm to recruit an experienced Quantitative Trader for its growing London team. Proven experience as a Quantitative Trader, Quantitative Researcher, or in data science / mac

Proprietary Trader - Macro Rates (London). Systematic Equities Trader/Quantitative Researcher. Execution Trader, Fixed Income Hedge Fund, London [Onsite].

Quantitative Researcher/ Trader £150,000 GBP 120,000 Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets

Quantitative Researcher/ Trader £150,000 GBP 120,000 Onsite WORKING Location:. Min 4 years of relevant experience ? Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering ? Strong knowledge in statistics, machine learning, NLP or AI techniques