Quantitative trader jobs in United Kingdom

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.

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 Trader - London / Remote We're seeking elite quant traders with exceptional performance records and proven strategy development expertise. What you'll do: • Develop systematic trading strategies, • Manage risk and optimize performance, • Research alpha using ML/statistical methods Requirements: • 3+ years quant trading experience, • Python/C++/R proficiency, • Proven strategy development track record Our network: • Pay: $200K-$2M+ based on experience, • Locations: London, Remote, • Splits: Market-leading profit participation available, • Strategies: HFT/MFT across Equities, Fixed Income, FX, Commodities, Crypto, Options From boutique prop shops to multi-billion systematic funds—we'll find your fit. Ready to explore? Apply now for confidential discussions.

Quantitative Trader - London 40+ top quant firms seeking exceptional talent. Multiple immediate openings. What you'll do: • Develop systematic trading strategies, • Manage risk and optimize performance, • Research alpha using ML/statistical methods Requirements: • 2+ years quant trading experience, • Python/C++/R proficiency, • Proven strategy development track record Our network: • Pay: $200K-$2M+ based on experience, • Locations: London, Remote, • Firms: Prop shops to multi-billion systematic funds From boutique trading floors to established hedge funds—we'll find your fit. Ready to explore? Apply now for confidential discussions.

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. You’ll be working alongside experienced industry professionals on projects including alpha research, risk management, and portfolio construction, and will have the chance to see the direct impact of your work on the business. This will be US equities intraday trading. Essential Skills: • Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering etc.)., • Programming experience in one major language (C++, C#, Python etc.)., • Alpha researcher from an equities/stat-arb background, • Non competes of less than 12 months, • At least 2 years working within this space Desired Skills: • Prior experience or internships in systematic alpha research is beneficial., • Prior experience or internships in automated market making is beneficial., • Experience working with large data sets. This position will allow you to get a PnL cut for bonuses in addition to a top base salary. Happy to relocate people from around the world!

Senior Quant Trader - DeFi / On-Chain Trading A leading digital asset trading firm, seeks an experienced Quant Trader to lead high-frequency, market-neutral strategies in decentralized markets. The Role: Own the complete strategy lifecycle in on-chain trading—research, development, and execution. Access proprietary infrastructure, tools, and capital to drive results in this rapidly growing space. You'll Do: • Design latency-sensitive, market-neutral trading strategies for blockchain, • Build automated algorithms interacting with smart contracts and DEXs, • Analyze blockchain data to identify profitable opportunities, • Develop risk frameworks for volatile crypto markets You Have: • 6+ years running HFT/prop trading strategies end-to-end, • Market-making or latency-sensitive trading experience, • Strong programming skills for high-performance trading, • Quantitative analysis expertise with complex datasets You Get: • Competitive base + performance bonuses, • Complete strategy ownership and autonomy, • Cutting-edge trading infrastructure, • Collaborative team environment This role requires relocation to Singapore. Full relocation support provided.

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.

Head of Operations – Algorithmic Trading Location: London or Dubai (quant-driven electronic market maker) Overview: A senior strategic leadership role at a leading quantitative trading firm that uses machine learning and data-driven intelligence to provide liquidity across global financial markets. The firm values strategic thinking, resilience, and innovation over speed alone — focusing on smarter, predictive trading systems. Purpose of the Role: To define and execute the operational strategy that underpins the firm’s growth, scalability, and resilience. This is a hands-on leadership position focused on guiding systems, processes, and people — not managing day-to-day tickets. Key Responsibilities: • Lead the strategic operational roadmap, aligning it with long-term business goals., • Oversee critical trading infrastructure, ensuring stability, integrity, and risk management., • Drive automation and Infrastructure as Code (IaC) maturity., • Champion the integration of Generative AI for intelligent monitoring and predictive operations., • Lead cross-functional collaboration during incidents and major system initiatives., • Design and manage a robust operational risk framework across the trading lifecycle. Ideal Profile: • 5+ years in trading operations, SRE, or systems leadership within quant / HFT / fintech firms., • Expert-level skills in Linux/Unix, distributed systems, and FIX protocol., • Hands-on with IaC tools (Terraform, Puppet, etc.) and modern automation., • Strong grasp of market microstructure, order flow, and risk management., • Exceptional communicator with strategic influence across technical and executive teams. Desirable: • Background in quantitative trading or software engineering., • Familiarity with AI/ML, predictive analytics, and trading platforms (IB, MetaQuotes, B2B or C-Trader). Tech Stack: • Linux-first environment on AWS., • Core languages: C++, Java, Python., • Large-scale data lakes and HTML5 front ends. Why Join: • Shape the firm’s operational strategy with real ownership and autonomy., • High-impact role with direct exposure to the executive team., • Clear progression to senior executive leadership., • Collaborative, meritocratic culture with a startup mindset.

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

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

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