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Senior Quantitative Developer

Employer
Selby Jennings
Location
Boston, USA
Salary
Negotiable
Closing date
Feb 18, 2024

View more

Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
As a Quantitative Developer, your role involves contributing to the development of our upcoming Research data platform by utilizing open-source, cloud, and distributed computing technologies. You'll engage in impactful projects that rapidly gain adoption, instigating change within the team.

Key Responsibilities:
  • Develop and maintain Python libraries supporting investment research production processes.
  • Design and implement software to enhance our data science technology stack.
  • Create financial data APIs and numerical APIs.
  • Apply cloud and distributed computing technologies.
  • Implement performance enhancements in data analysis and numerical programming code.
  • Conduct Proof of Concepts (POCs) to assess new technologies and libraries in the PyData ecosystem.
  • Collaborate with software engineers to design feeds for new data sources from third-party vendors.
  • Propose and lead the implementation of major components or features in our data science platform.
  • Mentor, train, and provide technical guidance to junior team members in design and coding standards.
  • Contribute to other projects based on experience and interest.

Qualifications:
  • Bachelor's or Master's degree in computer science.
  • Strong analytical and problem-solving skills.
  • Proficient programming skills in Python, with experience in implementing production-grade Python code.
  • Knowledge of OOP paradigms, data structures, and numerical algorithms.
  • Familiarity with data storage (RDBMS, S3, columnar databases, NOSQL databases).
  • Experience in distributed computing (Spark, Dask, or HPC).
  • Understanding or interest in probability and statistics, including linear regression and time-series analysis.
  • Curiosity and a willingness to learn new technologies.
  • Interest in financial markets (prior experience not required).
  • Excellent communication skills.
  • High energy as well as a strong work ethic.

Additional experience with any of the following would be valuable:
  • Hadoop, Spark, Kafka, and related technologies.
  • Unix/Linux system tools and environment.
  • Basic familiarity with unit testing, continuous integration, DevOps, containerization.
  • Interactive data visualization and dashboards.

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