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- Tasks: Design and develop cutting-edge alpha research platforms in a dynamic team.
- Company: Join a leading firm at the forefront of quantitative finance and technology.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Why this job: Make a real impact by solving complex problems and driving innovation.
- Qualifications: 5+ years of Python experience in quantitative finance and strong analytical skills.
- Other info: Opportunity to mentor junior developers and shape the future of execution strategies.
The predicted salary is between 72000 - 108000 £ per year.
The Central Execution Book (CEB) is a global effort to optimize the firm's execution across business lines and asset classes. At a high level, the CEB seeks to improve execution quality by reducing market impact and controlling information leakage, but the group's mandate also includes the deployment of the firm's risk capital to do so. The above requires solving complex technical and quantitative problems.
We are looking for a highly driven, results-oriented Senior Quantitative Developer to join a dynamic group tasked with developing our next-generation alpha research pipeline, encompassing data ingestion to model evaluation and reporting. We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process.
Principal ResponsibilitiesThe successful candidate will be expected to:
- Help design and contribute to the alpha research platform
- Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes
- Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline
- Mentor junior resources
- Regularly interact with quantitative researchers and other stakeholders, and prioritize and implement features
- 5+ years of Python experience in a quantitative finance setting
- Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows
- Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch
- Prior experience building alpha research or machine learning pipelines
- Highly analytical with strong problem-solving skills and attention to detail
- Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely
- Ability to tune and debug runtime performance of data applications
- Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)
Senior Quantitative Developer in London employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups, webinars, or industry events where you can chat with potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to alpha research or machine learning pipelines. This gives you a chance to demonstrate your Python prowess and problem-solving abilities in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly and concisely, as communication is key in this role. Mock interviews can help you get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Senior Quantitative Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Quantitative Developer role. Highlight your Python experience and any relevant projects you've worked on, especially those involving alpha research or machine learning.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about quantitative finance and how your background aligns with our goals. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention your familiarity with the Python data science ecosystem and any experience you have with C++/Rust/CUDA. We want to see how you can contribute to our alpha research platform.
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 us you’re keen on joining our team!
How to prepare for a job interview at Millennium
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the data science libraries mentioned in the job description. Brush up on your knowledge of linear models and statistics, as you might be asked to explain how you would approach model evaluation and reporting.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical problems. Think about how you’ve optimised code or improved performance in past projects, as this will demonstrate your analytical abilities and attention to detail.
✨Communicate Clearly
Practice explaining technical concepts in a straightforward manner. You’ll likely need to interact with quantitative researchers and stakeholders, so being able to convey your ideas clearly is crucial. Consider doing mock interviews to refine this skill.
✨Be Ready to Lead
Since the role involves mentoring junior resources and providing vision for the alpha research platform, think about your leadership experiences. Be prepared to discuss how you’ve guided teams or influenced project direction in previous roles.
