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: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make an impact in high-stakes trading with innovative technology and real-time challenges.
- 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: Crypto.com
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 the financial technology sector.
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, attend meetups, and connect with potential colleagues on 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! Create a portfolio or GitHub repository showcasing your projects related to quantitative trading. This gives you a chance to demonstrate your expertise and passion beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications. Practice explaining complex ideas simply, as you’ll need to communicate effectively with both technical and non-technical teams.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace Quant Trader in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Quant Trader. Highlight your quantitative fluency and any experience with trading systems. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of projects where you've built or maintained trading systems. We love seeing real-world applications of your skills, especially those that demonstrate your ability to handle high-pressure situations.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the responsibilities listed in the job description. We appreciate brevity and clarity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Crypto.com
✨Know Your Quantitative Stuff
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 depth of knowledge and ability to think critically about the role.
✨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 will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Think of examples where you've built self-correcting models or implemented high-velocity protocols. Be ready to explain how you tackled challenges related to adverse selection and information asymmetry, showcasing your defensive design skills.
✨Communicate Clearly with Engineers
Practice translating complex mathematical strategies into scalable requirements. During the interview, focus on how you can bridge the gap between quantitative analysis and engineering, as this is crucial for the role.
