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- Tasks: Build and support cutting-edge applications for equity derivatives trading.
- Company: Join a dynamic London-based team in the finance tech sector.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make an impact in finance by working with large datasets and innovative technologies.
- Qualifications: 5+ years of Python development experience and strong communication skills.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The successful candidate will join a London-based team that designs, develops, and supports cutting-edge applications that support equity derivatives trading as well as equities and risk management. The candidate will work hands-on with other developers, QA and production support teams to build applications and processes that process, summarize, and display large financial datasets such as volatility, dividends, and borrow rates. The team interacts with key stakeholders such as Portfolio Managers as well as Equities and Risk Managers.
Must be a very strong hands-on developer with deep understanding of financial data processing and equity derivatives markets. Must have excellent communication skills and be a team player. Experience working in a Unix/Linux environment with cloud and containerization technologies is a plus.
Principal Responsibilities- Building and supporting applications for processing, summarizing, and displaying large financial datasets such as volatility, dividends, and borrow rates
- Developing systems for equity derivative market data calibration and pricing workflows
- Job may require coding in and/or learning UI technologies
- Writing comprehensive documentation
- Testing code via approved frameworks and methodologies
- Minimum of 5 years' experience with Python development – both backend and frontend
- Proficient with Python – capable of building and supporting applications and systems in Python
- Comfortable working with large financial datasets, such as volatility surfaces, dividends, and borrow rates
- Familiarity with equity derivative market data and its calibration, as well as equity derivatives pricing models
- Experience in Object Oriented design, Design Patterns, Unit & Integration testing
- Knowledge of the following would be beneficial: Postgres database, Airflow scheduler, Redis
- Experience of concurrent, multi-threaded application environments as well as distributed systems is a plus
- Ability to thrive in a fast-paced environment while building cutting-edge applications
- Knowledge of Unix/Linux environments, as well as Agile/Scrum development methodologies
- Experience with front-end UI technologies such as JavaScript and HTML5 would be beneficial
- B.S. in Computer Science, Mathematics, Physics, Financial Engineering, or related quantitative field
- Demonstrates thoroughness and strong ownership of work
- Good team player with a strong willingness to participate and help others
- Excellent communication skills
Python Developer - Equity Volatility. in London employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Equity Volatility. in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to Python development and equity markets. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving financial data processing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of equity derivatives. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented developers like you. Keep an eye on our job postings and make sure your application stands out with a personal touch.
We think you need these skills to ace Python Developer - Equity Volatility. in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Python Developer role. Highlight your experience with financial datasets and equity derivatives, as well as any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Show Off Your Coding Skills: Include examples of your Python projects, especially those that involve backend and frontend development. If you’ve worked with large datasets or in a Unix/Linux environment, let us know! We love seeing practical applications of your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about equity volatility and how your background makes you a great fit for our team. Don’t forget to mention your communication skills and teamwork experience!
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 on joining our team at StudySmarter!
How to prepare for a job interview at Millennium Management
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in both backend and frontend development. Be ready to discuss your past projects and how you've used Python to handle large financial datasets. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Financial Data Processing
Familiarise yourself with equity derivatives markets and the specific financial data you'll be working with, like volatility surfaces and dividends. Being able to speak knowledgeably about these topics will show that you're not just a developer, but someone who understands the business context of your work.
✨Show Off Your Team Spirit
Since this role requires excellent communication skills and teamwork, think of examples where you've successfully collaborated with others. Be prepared to discuss how you handle feedback and support your teammates, as this will highlight your fit within their team-oriented culture.
✨Get Comfortable with the Tech Stack
If you have experience with Unix/Linux environments, cloud technologies, or containerisation, make sure to mention it! Even if you're not an expert, showing a willingness to learn about tools like Postgres, Airflow, or Redis can set you apart from other candidates.
