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- Tasks: Build and support a cutting-edge trading platform using Python and advanced technology.
- Company: Join a dynamic team at Maven, leading in systematic equities trading.
- Benefits: Enjoy competitive pay, flexible work environment, and opportunities for personal growth.
- Why this job: Make a real impact on trading strategies while working with innovative tech.
- Qualifications: Strong Python skills and experience in live trading platforms are essential.
- Other info: Collaborative culture with a focus on creativity and rapid development.
The predicted salary is between 60000 - 80000 £ per year.
What we do: Maven’s Systematic Equities team deploys research-driven strategies across global equity markets, powered by some of the most advanced technology available. Our approach to trading is scientific and process-driven, with a strong emphasis on a flexible research environment, providing us with efficient means to rapidly develop, test, and deploy new ideas. We empower our team members and maximize their ability to succeed by offering an environment that is open, collaborative, and supportive. We value creativity and are aggressive to capitalise on opportunities.
The role: We are looking for an experienced Python Engineer (Platform / ML) to join the mid-frequency-equities desk and help build, maintain, and support all aspects of the trading platform. The role is hands‑on and production‑facing: you will be expected to react quickly to urgent desk needs, while making pragmatic trade‑offs between optimal architecture and fast, reliable delivery.
Responsibilities:
- Data ingestion and processing pipelines
- Orchestration of all processes involved in the trading platform
- Trading and research platform development and support
- ML model training and inference infrastructure
- Production support for live trading systems
- Monitoring and alerting improvements
- AI tooling integration
Requirements:
- Excellent Python skills, with significant experience designing, developing, testing, and deploying complex and robust production systems
- Familiarity with Linux systems; comfortable debugging distributed/production issues
- Understanding of algorithm design and complexity
- Ability to prioritise effectively in a fast‑paced environment whilst keeping longer‑term objectives in mind
- Strong ownership mindset: incident handling, end‑to‑end problem solving, and pragmatic decision making under time pressure
- An interest in trading and finance; experience with systematic trading platforms/frameworks (incl. stat‑arb environments) is a strong plus
Ideal experience:
- Engineering systems for live trading platforms or similarly demanding real‑time environments
- Airflow, Argo, Dagster or equivalent
- Observability/monitoring stacks, dashboards and alert design
- ML infra, high‑performance and GPU computing, MLOps
- Docker, Kubernetes
- CI/CD
Why you should apply:
- A flexible environment where technology is an absolute key to our success
- Opportunity to be highly involved in the decisions that shape every aspect of how we operate
- Friendly, informal and collaborative environment where you’re empowered and supported to achieve your ambitions, learn and develop
- Competitive compensation with substantial impact-based upside
We are a small and nimble team that makes extensive use of CI/CD, AI tooling, and peer code review to ensure quality and maintainability while keeping time-to-market short. You will be able to see the impact of your work immediately and will be in a unique position to directly contribute to trading revenue.
Quant Dev - Systematic Equities Trading (Python) in London employer: Maven Securities
Contact Detail:
Maven Securities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Dev - Systematic Equities Trading (Python) 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 a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them. Real-world examples of your Python prowess can really impress.
✨Tip Number 3
Prepare for the technical grill! Brush up on your coding skills and be ready for live coding challenges. Practice makes perfect, so get those algorithms down!
✨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!
We think you need these skills to ace Quant Dev - Systematic Equities Trading (Python) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see examples of how you've designed, developed, and deployed robust systems. Don’t just say you’re good at Python; show us what you’ve built!
Tailor Your Application: Take a moment to customise your application for the role. Mention your experience with trading platforms or any relevant projects that align with our systematic equities focus. This helps us see how you fit into our team.
Keep It Clear and Concise: We appreciate clarity! Make your application easy to read and straight to the point. Use bullet points if necessary to break down your skills and experiences. We want to get to know you quickly!
Apply Through Our Website: Don’t forget to apply 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 on joining our team!
How to prepare for a job interview at Maven Securities
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with designing, developing, and deploying production systems. They’ll likely ask you about specific projects where you've used Python, so have some examples ready that showcase your problem-solving abilities.
✨Understand the Trading Environment
Familiarise yourself with systematic trading platforms and frameworks. Knowing how algorithm design and complexity play into trading strategies will give you an edge. You might want to read up on recent trends in the equity markets and be prepared to discuss how they could impact trading strategies.
✨Show Your Problem-Solving Skills
Be prepared to demonstrate your ownership mindset. They’ll want to see how you handle incidents and solve problems under pressure. Think of examples from your past experiences where you had to make quick decisions while balancing short-term needs with long-term goals.
✨Ask Insightful Questions
Prepare some thoughtful questions about their trading platform and the technologies they use, like Airflow or Kubernetes. This shows your genuine interest in the role and helps you understand if the environment is the right fit for you. Plus, it’s a great way to engage with your interviewers!