quantitative developer London, England
Job description
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My client is a leading institutional-grade analytics, data, and research platform that delivers interactive analytical tools, sophisticated quantitative models, custom visualization capabilities, and groundbreaking research to their client base, which includes the likes of professional traders, hedge funds, digital asset/cryptocurrency exchanges and retail market participants. As a Quantitative Developer, you will be a key player in the company's mission to revolutionize the way their clients make data-driven decisions and gain insights in the dynamic financial landscape.
Responsibilities:
- Model Development: Collaborate with our research and data science teams to design and implement advanced quantitative models that capture market dynamics, identify trading opportunities, and support risk management strategies.
- Analytical Tool Creation: Create and enhance interactive analytical tools that facilitate data exploration, statistical analysis, and visualization, empowering our users to derive valuable insights from complex financial datasets.
- Technology Integration: Integrate our proprietary models and analytical tools into our platform, ensuring seamless user experience and efficient data processing.
- Custom Visualization: Develop custom visualization capabilities that enable users to interpret complex data outputs intuitively, facilitating informed decision-making.
- Algorithm Optimization: Continuously enhance existing algorithms and optimize computational processes to improve the platform's performance and speed.
- Collaborative Innovation: Work closely with cross-functional teams, including research, data science, and engineering, to brainstorm and implement innovative solutions that push the boundaries of financial analytics.
- Performance Monitoring: Monitor the performance and accuracy of quantitative models and tools, proactively identifying and rectifying any issues or deviations.
- Documentation: Prepare comprehensive documentation for developed models, tools, and algorithms to facilitate easy understanding, usage, and maintenance.
- Stay Abreast of Industry Trends: Keep up-to-date with the latest developments in quantitative finance, data analytics, and technology, integrating new knowledge into our platform's capabilities.
Requirements:
- Education: A degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field is preferred. Advanced degrees (Master's or Ph.D.) will be a significant advantage.
- Technical Proficiency: Strong programming skills in languages such as Python, R, Java, C++, or similar, and experience working with numerical libraries (e.g., NumPy, SciPy) and data manipulation tools (e.g., Pandas).
- Quantitative Background: A solid understanding of quantitative finance, statistical analysis, probability theory, and time-series analysis is essential.
- Financial Market Knowledge: Familiarity with financial instruments, trading strategies, and market dynamics will be highly beneficial.
- Problem-Solving Aptitude: Demonstrated ability to tackle complex problems and devise innovative solutions while maintaining attention to detail.
- Software Development Best Practices: Experience with version control systems (e.g., Git), software testing, and agile development methodologies.
- Team Player: Strong collaboration and communication skills, with an ability to work effectively within a multidisciplinary team environment.
- Adaptability: Thrive in a fast-paced, dynamic environment, and willingness to adapt to evolving business needs.
If you are eager to make a significant impact in the financial industry by developing sophisticated quantitative models and analytical tools, this is the perfect opportunity for you. To apply, please submit your CV for immediate consideration.
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
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