at Millennium
Hedge FundsPosted 8 days ago
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**Quantitative Developer – Equity Volatility** drives MLP's Equity Derivatives platform, enhancing reliability, automation, and scalability. Key responsibilities include building/maintaining internal platforms, automating tooling, coding with best practices, optimizing performance, and providing Level 2 support. Proficient in Python, Groovy/C++, Docker/Kubernetes, and Kafka/Solace for messaging middleware. Seeking hands-on experience with these technologies, preferably in equity derivatives, along with a relevant advanced degree. Proven ability to thrive in fast-paced environments, manage multiple projects effectively, and communicate with diverse teams.
- Compensation
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Currency: Not specified
Full Job Description
The successful candidate will join a team that develops, maintains and supports the Equity Derivatives platform/infrastructure at MLP. They will work hands-on with other developers, quants and production support teams to improve reliability, automation and operational scalability. Experience working with Python, Groovy or C++ and in a Unix/Linux environment is a must, as is experience with Docker/Kubernetes and messaging middleware such as Kafka/Solace. Experience working on equity derivatives platforms would be beneficial. Must have excellent communication skills and be a team player.
Principal Responsibilities:
- Build and maintain internal platforms used by Equity Derivatives PMs, quants and technology teams
- Develop robust, automated tooling to streamline deployment, configuration management, and failover procedure
- Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
- Conduct in-depth profiling of application stacks to identify and eliminate latency bottlenecks, driving improvements across the platform
- Apply AI-enabled approaches to improve data validation, anomaly detection and support automation
- Provide Level 2 support, troubleshooting, and performance tuning for production systems
Qualifications/Skills:
- Hands-on experience with languages such as Python, Groovy or C++ is required
- Experience of Kubernetes, Docker, and cloud platforms is required
- Experience with messaging middleware platforms like Kafka / Solace is desired
- Experience in working with Equity Derivatives Pricing, Risk or vol fitting applications is desired
- Advanced degree in Computer Science, Mathematics, Physics, Financial Engineering or equivalent.
- Ability to maintain composure under pressure and to communicate effectively with various stakeholders
- Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure.
- Proactive, assertive and attentive to details.
- Can handle several projects with different priorities at the same time in a fast-paced environment
