Quantitative Developer, Systematic Equities
1 month ago
Job Description: Quantitative Developer, Systematic Equities
Please send resume submissions to QuantTalentEUR@mlp.com and reference REQ-19460 in the subject line.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
A small, collaborative, and entrepreneurial systematic investment team is seeking an experienced developer to join in building critical trading infrastructure. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.
Location : London
Principal Responsibilities
- Partner closely with the Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities.
- 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 (i.e., large scale computation and serialization frameworks)
- Live operation of such systems, including monitoring and pro-active 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 PM and the trading group in a transparent environment, engaging with the whole investment process.
Preferred Technical Skills
- Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field appropriate to a computational background.
- Expert in C++.
- Advanced programming skills in Python.
- Strong Linux-based development.
Preferred Experience
- Extremely strong computer science or engineering background with 3+ years of experience.
- Approx. 3-4 years of professional experience in a computer science/computational role.
- Experience working in a technical environment with DevOps functions (Google Cloud, Airflow, InfluxDB, Grafana).
- Design and implementation of front-office systems for quant trading.
Highly Valued Relevant Experience
- Knowledge of machine learning and statistical techniques and related libraries.
- Experience as a quantitative developer supporting an intraday (or faster) system.
- Experience with the development practices of large tech (Google/Meta, etc.) or finance firms.
- Experience with financial data.
Target Start Date : As soon as possible
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