At a Glance
- Tasks: Join a global team to develop and optimise high-frequency trading strategies.
- Company: Leading quantitative trading firm with a focus on innovation and collaboration.
- Benefits: Competitive pay, performance bonuses, and access to advanced trading infrastructure.
- Other info: Work remotely from anywhere and explore new markets with strong engineering support.
- Why this job: Make an impact in the fast-paced world of trading while working with top-tier professionals.
- Qualifications: Proven profitable trading strategies and expertise in quantitative research or algorithmic trading.
The predicted salary is between 54000 - 66000 £ per year.
Location: Worldwide (in global offices)
Team: Trading
Type: Full-Time
About the Firm
Our client is a leading global quantitative trading firm specialising in high-performance, fully automated trading strategies across traditional asset markets. They combine cutting-edge research, high-speed systems, and a scientific approach to develop profitable trading models deployed across global exchanges.
Role Overview
We're working with a leading quant trading firm to find an experienced Quantitative Trader to join their medium-frequency and high-frequency trading team, covering markets such as Fixed Income, Rates, Credit, ETFs, and Equities. The ideal candidate has live strategies already trading profitably in one or more of these asset classes, with a strong understanding of market microstructure, market-making, latency-sensitive execution, and/or predictive modelling.
You will:
- Collaborate with world-class quants and engineers to scale and optimise your strategies on the firm's global infrastructure.
- Deploy and manage live MFT or HFT trading strategies across Fixed Income, Rates, Credit, ETF, and/or Equity markets.
- Conduct research on price dynamics, liquidity patterns, trade flow, and cross-venue opportunities.
- Work with engineering teams to optimize latency, execution performance, and system robustness.
- Monitor strategy behaviour, risk exposure, and reconcile PnL in real-time.
- Continuously improve models through statistical analysis, feature refinement, and experimentation.
- Develop new strategies leveraging market microstructure insights, predictive models, or arbitrage logic.
- Ensure all strategies meet internal compliance, risk, and reliability requirements.
Required Qualifications
- Proven track record: a live, profitable trading strategy in MFT or HFT environments across Fixed Income, Rates, Credit, ETFs, or Equities.
- Strong background in quantitative research, algorithmic trading, or systematic strategy development.
- Expertise in at least one programming language: Python, C++, Rust, or Java.
- Deep understanding of market microstructure, order types, liquidity behaviour, and exchange/venue connectivity relevant to your asset class.
- Experience with low-latency systems, colocation, smart order routing, or exchange connectivity.
- Comfort with statistical modelling, time-series analysis, and data-driven decision making.
- Ability to work independently and deliver results in a competitive, fast-moving environment.
Preferred Qualifications
- Prior experience in a prop-trading firm, HFT shop, market maker, or bank trading desk.
- Exposure to cross-venue arbitrage, ETF creation/redemption mechanics, curve trading, or credit relative value.
- Experience with high-throughput systems, FPGA, kernel-level optimisations, or similar performance work.
- Knowledge of risk-neutral pricing, micro-alpha models, or reinforcement-learning-based strategy design.
What's on Offer
- Competitive compensation with performance-based payouts.
- Access to global exchange connectivity and advanced infrastructure.
- A collaborative, research-driven culture with strong engineering support.
- Freedom to scale strategies and explore new markets.
- Opportunity to work anywhere in the world.
Quantitative Researcher/Trader in London employer: Albert Bow
Join a dynamic and innovative technology company that thrives on delivering impactful solutions in the financial services and RegTech sectors. With a strong focus on employee development, we offer extensive growth opportunities, a collaborative work culture, and the flexibility of remote/hybrid working arrangements. Our commitment to excellence ensures that you will be part of a team that values your contributions and supports your professional journey.
