Quantitative Developer
Posted 6 hours 1 minute ago by MCP (Switzerland) GmbH
Permanent
Not Specified
Academic Jobs
Zug, Baar, Switzerland
Job Description
General Information
- Job Title: Quantitative Developer
- Office Location: Baar (Switzerland, Canton of Zug)
Job Description
Quantitative Developer will work as part of a portfolio-management team with a focus on systematic trading opportunities in equity options. The primary focus of the Quantitative Developer will be:
- Development and subsequent optimization of infrastructure supporting the overall development and production of quantitative trading models.
- Work directly with the quantitative researcher(s) and senior portfolio manager to implement technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks.
- Work with senior technologists on the design and implementation of systems, and work closely with the quantitative research team to enable their mission.
- The successful candidate is expecting to put in an intense effort to be an early and pivotal part of the success of a quantitative trading group.
Principal Responsibilities
- Partner closely with the Senior Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of US equity options
- Develop software engineering solutions for quantitative research and trading
- Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team
- Build and maintain robust data pipelines and databases that ingest and transform large amounts of data
- Develop processes that validate the integrity of the data
- Implementation and operation of systems to enable quantitative research, including large scale computation and serialization frameworks
- Live operation of such systems, including monitoring and proactive detection of potential problems and intervention
- Stay current on state-of-the-art technologies and tools, including technical libraries, computing environments and academic research
- Collaborate with the SPM and the trading group in a transparent environment, engaging with the whole investment process
Qualifications/Skills Required
- Master s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background.
- 3-4 years of professional experience in a computer science/computational role, with an extremely strong computer science or engineering background.
- Expert in C++ and advanced programming skills in Python.
- Strong Linux-based development experience.
- Experience working in a technical environment with DevOps functions, utilizing Google Cloud, Airflow, InfluxDB, and Grafana.
- Experience design and implementation of front-office systems for quant trading of equity options.