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- Tasks: Join our team to develop and enhance trading systems and analytics tools.
- Company: Be part of a well-established UAE fund focused on systematic strategies and data-driven research.
- Benefits: Enjoy a competitive tax-free salary, collaborative work environment, and opportunities for professional growth.
- Why this job: Work with cutting-edge technology and talented professionals to make a real impact in finance.
- Qualifications: Strong Python and SQL skills, with a background in quantitative disciplines and at least 5 years of experience.
- Other info: Ideal for those passionate about finance and technology, looking to innovate in a dynamic setting.
The predicted salary is between 108000 - 162000 £ per year.
A well-established UAE-based fund is expanding its investment and research team, leveraging systematic strategies, data-driven research, and robust tech infrastructure to manage a diversified portfolio.
They are looking for a Python Quant Developer to join their front-office research team with the ideal experience being across Python, SQL, systematic trading, analytical skills (e.g. financial data analysis), statistics (bonus), and Macro (bonus).
This individual will play a key role in the design, development, and enhancement of the fund’s proprietary trading systems, data analytics infrastructure, and systematic strategies. You will work closely with portfolio managers, researchers, and technologists to support and drive research, execution systems, and platform development.
Key Responsibilities:- System development: Build, maintain, and enhance quantitative research tools and systems including analytics engines, trading models, and data pipelines.
- Research support: Collaborate with investment professionals on the development and backtesting of systematic trading strategies, signal generation, and portfolio construction.
- Data & analytics: Engage in data acquisition, cleaning, and transformation; apply statistical techniques and financial analysis to derive actionable insights from complex data sets.
- Team collaboration: Interface with researchers, engineers, and portfolio managers to translate investment hypotheses into production-ready code and tools.
- Best practices: Document system architectures and processes; conduct code reviews and knowledge-sharing to ensure high standards in engineering and research workflows.
- Strong Python and SQL programming skills, and highly proficient in handling financial datasets.
- Experience in developing and implementing systematic trading strategies.
- Strong analytical thinking with a background in statistics, econometrics, or data science.
- Understand core financial concepts such as portfolio theory, risk models, and pricing of financial instruments.
- Bachelor’s degree or higher in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Quantitative Finance. Advanced degrees (MSc/PhD) are a plus.
- At least 5 years of relevant experience in a quantitative research or development role.
- Prior hands-on experience building production-quality tools for systematic research and trading platforms.
Quantitative Developer employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network with professionals in the finance and tech industries, especially those who work in quantitative roles. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn more about the latest trends in systematic trading.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects or creating your own portfolio of quantitative tools. This not only demonstrates your programming abilities but also your passion for the field, making you a more attractive candidate.
✨Tip Number 3
Familiarise yourself with the specific technologies and methodologies used by the fund. Research their existing systems and strategies, and be prepared to discuss how your experience aligns with their needs during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions relevant to quantitative finance. Focus on Python and SQL, as well as statistical analysis, to ensure you're ready to demonstrate your problem-solving skills effectively.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL programming skills, as well as any experience with systematic trading and financial data analysis. Use specific examples to demonstrate your analytical thinking and familiarity with financial concepts.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in quantitative research aligns with their needs, particularly in developing and enhancing trading systems and analytics tools.
Showcase Relevant Projects: If you have worked on projects related to systematic trading strategies or data analytics, be sure to include these in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Highlight Team Collaboration: Emphasise your ability to work collaboratively with researchers, engineers, and portfolio managers. Provide examples of how you've successfully translated investment hypotheses into production-ready code and tools in previous roles.
How to prepare for a job interview at Durlston Partners
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've built or enhanced quantitative research tools, as this will demonstrate your hands-on experience and technical capabilities.
✨Understand Systematic Trading Concepts
Familiarise yourself with systematic trading strategies and be ready to explain how you've applied these concepts in previous roles. Discussing your experience with signal generation and portfolio construction will show that you understand the core responsibilities of the position.
✨Prepare for Analytical Questions
Expect questions that assess your analytical thinking and problem-solving skills. Brush up on statistical techniques and financial data analysis, as you may be asked to solve a case study or provide insights based on complex datasets.
✨Emphasise Team Collaboration
Since the role involves working closely with portfolio managers and researchers, be ready to share examples of how you've successfully collaborated in a team environment. Highlight your communication skills and ability to translate complex ideas into actionable solutions.
