At a Glance
- Tasks: Build and enhance trading systems while ensuring stability and security.
- Company: Join a leading quantitative investment firm in Dubai.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborative team culture focused on innovation and ethical standards.
- Why this job: Make an impact in finance with cutting-edge technology and data-driven strategies.
- Qualifications: Masters/PhD in computer science, 5+ years in trading infrastructure, strong Python skills.
The predicted salary is between 80000 - 100000 £ per year.
Working for one of the world’s premier quantitative investment firms. This firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role: Quantitative Developer for a portfolio team based in Dubai.
Responsibilities:
- Building components for both live trading and simulation
- Refining, and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
- Maintaining and updating the platform, ensuring its stability, robustness, and security
- Developing robust data checking and storage procedures
- Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements
Requirements:
- Masters or PhD in computer science or other quantitative discipline
- 5+ years of experience designing and developing research and live trading infrastructure at a financial institution, including experience in futures and FX
- Experience handling connections to execution/order management systems
- Strong programming skills in Python
- Experience with SQL, database design, and large datasets
- Willing to take ownership of his/her work, working both independently and within a small team
- Commitment to the highest ethical standards
Quantitative Developer in London employer: Elliot Partnership
As a Quantitative Developer at our prestigious firm in Dubai, you will be part of a dynamic and innovative work culture that prioritises collaboration and excellence. We offer competitive benefits, including opportunities for professional growth and development, while fostering an environment that encourages creativity and the pursuit of cutting-edge research. Join us to make a meaningful impact in the world of quantitative investment, backed by our commitment to ethical standards and robust trading strategies.
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We think this is how you could land Quantitative Developer in London
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We think you need these skills to ace Quantitative 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elliot Partnership. 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 Elliot Partnership
✨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 Elliot Partnership!
✨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.
