Data Science Developer
2 weeks ago
At Mindworx Consulting, we are seeking a highly skilled Data Science Developer - Trading Systems to join our team.
About the RoleWe are looking for an experienced professional with a strong background in software development, data analysis, and trading systems. As a Data Science Developer - Trading Systems, you will be responsible for designing, developing, and maintaining sophisticated trading applications that meet high performance and reliability standards.
Key Responsibilities:- Trading Application Development: Develop and maintain complex trading applications using C# or Java, ensuring they meet high performance and reliability standards.
- Collaboration with Quantitative Analysts and Traders: Work closely with quantitative analysts and traders to implement financial models, trading algorithms, and strategies within trading systems.
- Financial Data Analysis: Analyze large datasets to create and optimize models for risk assessment, trading decisions, and portfolio management.
- Algorithm Development: Design and develop algorithms for real-time trading systems, minimizing latency and maximizing throughput.
- Technical Specifications and System Architecture: Translate business requirements into technical specifications and contribute to system architecture and design discussions.
- Testing and Debugging: Conduct unit testing, debugging, and troubleshooting of complex software applications.
- System Optimization: Continuously monitor, optimize, and enhance the performance and stability of trading systems.
- Compliance and Security: Ensure systems comply with industry regulations, security standards, and best practices.
- Live Environment Support: Provide ongoing support for live trading environments, addressing any production issues or system optimizations.
- 5+ Years of Experience in Software Development: Proven experience in software development, with a focus on financial services, trading systems, or financial modeling.
- Strong Proficiency in C# or Java: Strong proficiency in either C# or Java in a professional development environment.
- Extensive Experience in Quantitative Techniques: Extensive experience applying quantitative techniques (e.g., statistical models, financial analysis) to trading applications.
- Proven Experience in Real-Time Trading Systems: Proven experience developing software solutions for real-time trading systems with a focus on high performance and low latency.
- Financial Services Industry Knowledge: Financial services industry knowledge, with experience in trading systems, portfolio management, or risk management.
- Experience with Relational Databases and Data Analysis: Experience with relational databases (SQL) and data analysis for financial applications.
- Debugging, Testing, and Troubleshooting Skills: Strong debugging, testing, and troubleshooting skills in a live production environment.
- Clear Communication Skills: Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Algorithmic Trading Experience: Experience in algorithmic trading and developing automated trading strategies.
- Low-Latency Computing and High-Performance Systems: Understanding of low-latency computing and high-performance systems.
- Quantitative Discipline Degree or Higher: A degree or higher in a quantitative discipline such as Mathematics, Financial Engineering, or Computer Science.
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