À propos
Massar Capital Management, LP ("Massar") is an alternative investment management company founded in 2015. We employ a global macro trading strategy that seeks to capture investment opportunities across commodity, foreign exchange, fixed income, equity, and derivatives markets. With offices in the United States and Europe, Massar prides itself on its dynamic, entrepreneurial culture. Our investment philosophy combines fundamental understanding of individual assets with a quantitative, data-driven process. We build proprietary technology and develop statistical methods to leverage both public and in-house data sets. Our team members possess strong technical skills, a passion for problem-solving, and an intellectual curiosity about financial markets. The data team delivers infrastructure and models to deploy valuable data across the business. Working closely with our researchers and traders, we build resilient and easily maintainable data models and pipelines. Additionally, our developers support live trading by maintaining pipeline operations and enhance our data platform by developing new frameworks, libraries, and services, thereby enhancing team efficiency, throughput, and code quality. Responsibilities
Gain a comprehensive understanding of investment research teams' data needs and provide the right solution to them Develop, test, and optimize Python data applications, frameworks, and services Collaborate with technologists and researchers to align data applications and platforms with evolving business needs Write and review technical documentation, including requirements for researchers and proposals for platform enhancements, as well as production support guidelines Frequently take the lead on production support operations Requirements
Bachelor's in a technology related field (e.g. Engineering, Computer Science, etc.) Strong skills programming in Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative developer or data engineer Exposure to Relational database engineering or NoSQL database Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes Strong design, debugging and problem-solving skills Strong analytic and strategic thinking skills Strong communication skills Nice To Have
Experience at either a hedge fund or for a trading group on the buy-side Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes Compensation
Competitive compensation commensurate with level of experience. Comprehensive benefits package including medical, dental, vision, 401(k), insurance, Summer Fridays, and wellness reimbursement. Base Salary: $150,000 - $200,000/ yr plus bonus
Compétences idéales
- Docker
- Kubernetes
- Numpy
- Pandas
- Python
- SQL
Expérience professionnelle
- Data Engineer
Compétences linguistiques
- English
Avis aux utilisateurs
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