At a Glance
- Tasks: Join our team to develop and support a cutting-edge trading platform using Python.
- Company: Maven, a forward-thinking firm in systematic equities trading.
- Benefits: Enjoy competitive pay, flexible work environment, and opportunities for personal growth.
- Other info: Be part of a small, agile team with excellent career advancement potential.
- Why this job: Make a real impact in finance with innovative technology and collaborative culture.
- Qualifications: Strong Python skills and experience in production systems are essential.
The predicted salary is between 60000 - 80000 £ per year.
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 maximise their ability to succeed by offering an environment that is open, collaborative, and supportive. We value creativity and are aggressive to capitalise on opportunities.
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.
- 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 would include:
- 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
- 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 (Python): Systematic Equities & ML Platform employer: Maven
Maven is an exceptional employer, offering a dynamic and collaborative work environment in London where technology drives success. Employees are empowered to contribute meaningfully to trading strategies while enjoying competitive compensation and substantial growth opportunities. The company's commitment to creativity and innovation ensures that team members can see the immediate impact of their work, making it a rewarding place for those passionate about finance and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Dev (Python): Systematic Equities & ML Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects, especially those related to trading or ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in systematic trading. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Maven.
We think you need these skills to ace Quant Dev (Python): Systematic Equities & ML Platform
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've designed, developed, and deployed robust systems. Share specific examples that demonstrate your experience with complex production systems.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that align with our Quant Dev role. Mention any relevant projects or experiences that showcase your understanding of systematic trading and ML platforms.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Maven!
How to prepare for a job interview at Maven
✨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 you've worked on, so have some examples ready that showcase your expertise.
✨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. Show genuine interest in trading and finance during the interview; it’s a big plus!
✨Be Ready for Technical Challenges
Expect technical questions or even coding challenges during the interview. Practice debugging distributed systems and be prepared to discuss your approach to incident handling and problem-solving under pressure. This role is hands-on, so demonstrating your practical skills is key.
✨Show Your Collaborative Spirit
Since the environment is open and collaborative, highlight your teamwork experiences. Share examples of how you’ve worked effectively in a team setting, especially when it comes to peer code reviews or CI/CD processes. They want to see that you can thrive in a supportive atmosphere.
