At a Glance
- Tasks: Design and maintain a cutting-edge pricing engine for dynamic market quotes.
- Company: Join a forward-thinking trading firm at the forefront of technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with potential for rapid career advancement.
- Why this job: Make an impact in high-stakes trading with innovative technology and real-time decision-making.
- Qualifications: Strong quantitative skills and experience in building trading systems.
The predicted salary is between 50000 - 70000 € per year.
About the role: You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation.
Focus: Architecting a multi-market autonomous pricing engine.
Responsibilities:
- Autonomous Valuation: Engineer the logic synthesizing global data into fair-value anchors and dynamic spreads.
- Inventory Skewing: Build self-correcting models that adjust quotes based on exposure to incentivize book-balancing.
- Defensive Design: Implement high-velocity protocols to mitigate adverse selection and information asymmetry in milliseconds.
- Risk Automation: Define the logic for warehousing risk internally versus hedging externally.
- Technical Translation: Convert mathematical strategies into scalable requirements for engineering teams.
- Risk Guardrails: Partner with the desk to define the engine’s operational boundaries and automated thresholds.
- Real-Time Leadership: Act as the technical anchor during high‑leverage events, providing calibration and intervention when the system is under peak pressure.
Requirements:
- Quantitative Fluency: Deep understanding of probability and binary contracts; treating every event as a shifting probability curve.
- Pipeline Design: Experience building production-ready trading systems, from data ingestion to automated execution.
- Applied Data Science: Successful track record of deploying predictive models that learn from microstructure and price velocity.
- Systems Integrity: Expertise in building error-tolerant interfaces that remain stable under extreme throughput.
Quant Trader in London employer: P2P
At OG.com, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our culture encourages continuous learning and professional growth, with ample opportunities for employees to develop their skills in quantitative trading and data science. Located in a vibrant city, we provide a unique blend of competitive compensation, comprehensive benefits, and a supportive team atmosphere, making us an ideal choice for those seeking a meaningful and rewarding career in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Trader in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or relevant work, make sure to highlight them in conversations. It’s all about proving you can walk the walk.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to quant trading. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Quant Trader in London
Some tips for your application 🫡
Show Your Quantitative Fluency:Make sure to highlight your understanding of probability and binary contracts in your application. We want to see how you treat events as shifting probability curves, so don’t hold back on showcasing your analytical skills!
Demonstrate Your Pipeline Design Experience:When writing your application, be specific about your experience with building production-ready trading systems. We’re keen to know how you’ve handled everything from data ingestion to automated execution, so share those details!
Highlight Your Applied Data Science Skills:If you've successfully deployed predictive models, make sure to mention that! We love seeing real-world applications of data science, especially those that learn from microstructure and price velocity.
Keep It Relevant and Concise:While we appreciate detail, we also value clarity. Make your application easy to read and relevant to the role. Remember, applying through our website is the best way to get your foot in the door!
How to prepare for a job interview at P2P
✨Know Your Quant Fundamentals
Brush up on your understanding of probability and binary contracts. Be ready to discuss how you treat events as shifting probability curves, as this will show your quantitative fluency and ability to think critically about market dynamics.
✨Showcase Your Technical Skills
Prepare to talk about your experience in building production-ready trading systems. Highlight specific projects where you’ve designed data ingestion processes or automated execution, as this aligns perfectly with the role's requirements.
✨Demonstrate Real-Time Problem Solving
Think of examples where you've acted as a technical anchor during high-pressure situations. Discuss how you managed risk and made quick decisions, as this will illustrate your capability to handle the demands of real-time leadership.
✨Connect Theory to Practice
Be ready to explain how you convert mathematical strategies into scalable engineering requirements. This will show your ability to bridge high-level theory with practical applications, which is crucial for architecting the pricing engine.
