This job has expired

You will need to login before you can apply for a job.

Senior Quantitative Developer

Selby Jennings
Boston, USA
Closing date
Feb 18, 2024

View more

Job Function
Industry Sector
Finance - General
Employment Type
Full Time
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.

  • 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.

Sign in to create job alerts

Sign in or create an account to start creating job alerts and receive personalised job recommendations straight to your inbox.

Create alert