At a Glance
- Tasks: Lead the development of trading model research frameworks and collaborate with Quantitative Researchers.
- Company: Join Flow Traders, a leading proprietary trading firm with an innovative culture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with a focus on creativity and innovation.
- Why this job: Make a real impact in trading by developing cutting-edge models and strategies.
- Qualifications: Advanced degree in relevant fields and 8+ years of experience in MLOps or Research Engineering.
The predicted salary is between 63000 - 77000 £ per year.
Flow Traders is looking for a Senior Research Engineer to join us in our London office.
Apply (by clicking the relevant button) after checking through all the related job information below.
This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business.
We value quick-witted, creative minds and challenge them to make full use of their capacities.
As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production.
You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way.
You will then partner with Quantitative Researchers to build the trading models themselves.
What you will do Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals What you need to succeed Advanced degree (Master's or Ph D) in Machine Learning, Statistics, Physics, Computer Science or similar8+ years of hands-on experience MLOps, Research Engineering, or ML Research A strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring Understanding of and experience with modern software development practices and tools (e. g.
Agile, version control, automated testing, CI/CD, observability)Understanding of cloud platforms (e.
g., AWS, Azure, GCP) and containerization technologies (e.
g., Docker, Kubernetes)Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. xohmjla
All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.
Senior Research Engineer in Vauxhall employer: Flow Traders
Flow Traders is an exceptional employer, offering a dynamic and collaborative work culture in the heart of London. With a strong focus on employee growth, you will have access to cutting-edge technology and the opportunity to work alongside top-tier professionals in the fintech industry. The company values innovation and provides a supportive environment that encourages creativity and the development of advanced ML solutions.
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We think you need these skills to ace Senior Research Engineer in Vauxhall
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!
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✨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!
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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 Flow Traders!
✨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.
