At a Glance
- Tasks: Manage live trading risk and develop innovative trading strategies across multiple asset classes.
- Company: A leading tech-driven trading firm with a global presence and collaborative culture.
- Benefits: Highly competitive salary, performance bonuses, and access to cutting-edge technology.
- Other info: Opportunities for career growth and leadership in a high-performance culture.
- Why this job: Join a dynamic team and make impactful decisions in a fast-paced trading environment.
- Qualifications: Master’s or PhD in a quantitative field and 5+ years of trading experience.
The predicted salary is between 72000 - 108000 € per year.
The Firm
A well-capitalised, technology-driven trading firm operating at significant scale across digital assets, derivatives and emerging prediction markets. The firm runs proprietary systematic strategies across multiple asset classes with institutional-grade infrastructure and deep liquidity. The London quant trading desk is a core part of the global operation and is currently expanding its senior trading capability.
The Role
A senior front office quant trading position combining live risk management, systematic strategy research and execution. You will work directly within the firm’s automated trading infrastructure, taking ownership of both the refinement of existing models and the identification and development of new trading opportunities across asset classes and market structures.
Responsibilities
- Monitor and actively manage real-time risk across live books, including local time zone coverage and weekend shift rotation.
- Conduct pricing and execution research to facilitate systematic hedging strategies using the firm’s automated trading infrastructure.
- Design, implement and backtest new trading signals and execution strategies across spot, derivatives and event-driven markets.
- Develop and improve models for market microstructure analysis, signal generation, position sizing and execution optimisation.
- Identify structural mispricings, liquidity patterns and inefficiencies across new and existing markets.
- Perform rigorous post-trade analysis including PnL attribution, slippage analysis and signal decay diagnostics.
- Collaborate directly with quant developers and engineers to translate research into production-grade trading systems.
- Contribute to the ongoing development of the firm’s risk framework, including real-time monitoring and drawdown management tools.
Requirements
- Master’s or PhD in Mathematics, Statistics, Engineering, Computer Science or a related quantitative discipline from a top-tier institution.
- 5+ years of profitable trading experience at a bank, proprietary trading firm or market making desk in any asset class.
- Deep understanding of market microstructure, order flow dynamics and execution mechanics.
- Hands-on experience developing and deploying systematic trading strategies in live production environments.
- Strong proficiency in Python; experience with C++ or low-latency execution environments is a plus.
- Solid grounding in statistical modelling, time-series analysis, signal research and backtesting methodology.
- Experience with derivatives pricing, options microstructure or volatility modelling is advantageous.
- Proven ability to manage live risk independently and make sound, fast decisions under pressure.
- Highly analytical, detail-oriented, and intellectually curious with a drive for continuous improvement.
What’s on Offer
- Highly competitive base salary with a substantial performance-based compensation component — structured to reward genuine trading edge.
- Direct exposure to trading across multiple asset classes — including digital assets, derivatives, equities and prediction markets — within a single, institutionally scaled operation.
- A clear and meritocratic career trajectory — senior traders with a track record are given increasing autonomy, capital allocation and leadership responsibility.
- A collaborative, high-performance culture built around intellectual rigour, shared knowledge and continuous improvement.
- Access to cutting-edge proprietary technology, deep liquidity and a globally connected trading operation.
Senior Quant Trader in London employer: Eka Finance
As a leading technology-driven trading firm in London, we offer an exceptional work environment for Senior Quant Traders, characterised by a collaborative and high-performance culture that values intellectual rigour and continuous improvement. Our employees benefit from direct exposure to diverse asset classes, a meritocratic career trajectory with increasing autonomy, and access to cutting-edge proprietary technology, all while being rewarded with a highly competitive salary and performance-based compensation.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Trader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading world, attend industry events, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your trading strategies, models, and any successful trades you've executed. This will give potential employers a clear view of what you bring to the table and how you can contribute to their team.
✨Tip Number 3
Ace the interview! Research the firm thoroughly and be ready to discuss how your experience aligns with their trading strategies. Practice common quant trading interview questions and be prepared to demonstrate your analytical thinking on the spot.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to submit your application directly on our site to ensure it gets the attention it deserves. Don’t miss out on the chance to join our dynamic team!
We think you need these skills to ace Senior Quant Trader in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your quantitative skills and trading experience in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your achievements and relevant projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention the key responsibilities and requirements from the job description, and explain how your experience makes you a perfect fit for our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read, so avoid jargon and focus on delivering your message effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Eka Finance
✨Know Your Numbers
Make sure you brush up on your quantitative skills and be ready to discuss your past trading performance in detail. Be prepared to explain your strategies, the models you've developed, and how you've managed risk in real-time. This role is all about numbers, so show them you know your stuff!
✨Understand Market Microstructure
Dive deep into market microstructure concepts before your interview. Be ready to discuss how order flow dynamics impact trading decisions and execution mechanics. The more you can demonstrate your understanding of these concepts, the better you'll stand out as a candidate.
✨Showcase Your Technical Skills
Since this role requires strong proficiency in Python, make sure you can talk about your coding experience confidently. Bring examples of projects where you've developed or deployed systematic trading strategies. If you have experience with C++ or low-latency environments, don’t forget to mention that too!
✨Prepare for Scenario Questions
Expect scenario-based questions that test your decision-making under pressure. Think about past experiences where you had to manage live risk or make quick decisions. Practising these scenarios will help you articulate your thought process clearly during the interview.
