At a Glance
- Tasks: Join our middle-office team to develop Python tools for trading systems and data analysis.
- Company: LMAX, a leading financial technology firm with a collaborative environment.
- Benefits: Enjoy 25 days holiday, bonuses, private medical cover, and wellness programs.
- Other info: Dynamic role with opportunities for learning, growth, and collaboration across teams.
- Why this job: Make an impact in finance by building high-performance software with cutting-edge technologies.
- Qualifications: Experience in Python development and automated testing; finance background not required.
The predicted salary is between 60000 - 80000 £ per year.
LMAX is looking for a Python developer to join our middle-office team. This team works closely with the infrastructure, research and treasury teams. In this position you can expect to take a significant role in the development of our trade reconciliation, back-testing framework and trading monitoring. You will be working with the team to design and implement our trading system with a predominant focus on data engineering. We are looking for developers who are confident in their ability to develop software, both with others and on their own. A finance or trading background is not required.
Our infrastructure team works in C++ and our research team works in Python for analysis and automation. This role sits within the middle-office team, working primarily in Python. You'll be collaborating with both teams, supporting research with data analysis and working alongside the infrastructure team when needed. You'll be building Python tools and services that work with large volumes of financial data, used by teams across the business for analysis and reporting. This brings real performance challenges around throughput. You can expect to focus more on software performance than at other organisations, while still striving for clean, maintainable code.
We rely heavily on validating our system using our extensive test suites. We test at all levels of our system from unit testing to full end-to-end tests in which the entire system is launched and tested in a simulated environment. All tests are run every 15 minutes on our CI to give us a fast and reliable feedback cycle. There is no waiting for overnight test suites here. As a developer at LMAX you will be expected to help maintain our test framework so that we can continue to develop high quality code at speed.
Responsibilities
- Produce clear, well-structured and fully tested Python code
- Focus on performance and throughput
- Use pair programming to increase the spread of knowledge and avoid siloing
- Continuously design and implement new features that improve the safety, performance and usability of our software
Requirements
Essential Skills / Experience
- Python development, (Numpy/Pandas/SQL)
- Automated Python Testing
- Ability to understand business requirements and develop systems to meet them
- Ability to design well documented, simple and elegant systems that are easily maintainable
- Ability to work independently and with little guidance
Desirable Skills / Experience
- Test driven development, with experience in testing at different levels of the system (unit, integration and acceptance tests). For python we use pytest
- Experience with pybind/nanobind
- Airflow DAGs or equivalent workflow orchestration
- Polars for high-performance data processing
- Continuous Integration (Jenkins)
- Knowledge of Websocket, TCP/IP networking
- Science or Maths related degree
Benefits
- 25 days of holiday
- Bonus
- Pension contribution
- Private medical, dental, and vision coverage
- Life assurance
- Critical illness cover
- Wellness contribution program with access to ClassPass
- Plumm Platform
- Five volunteering days
- Give as You Earn initiative
- Learning and development programs
- Electric Vehicle Scheme
- Cycle to Work Scheme
- Season Ticket Loan
Python Middle Office Developer in London employer: LMAX Group
LMAX is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Python developers in the middle-office team. With a strong emphasis on employee growth, LMAX offers extensive learning and development programmes, alongside generous benefits such as private medical coverage and wellness contributions. Located in a dynamic financial environment, employees can expect to engage in meaningful projects that challenge their skills while enjoying a supportive atmosphere that values both individual contributions and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Python Middle Office Developer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LMAX Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Python Middle Office Developer at LMAX Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LMAX Group.
✨Apply Directly through Our Website
When you find a suitable opening like Python Middle Office Developer at LMAX Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Python Middle Office Developer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LMAX Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LMAX Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LMAX Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LMAX Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
