Senior Quantitative Developer

Selby Jennings

Location

Boston, MA | United States

Job description

Responsibilities:

Developing and maintaining Python libraries crucial for supporting investment research production processes.
Designing and implementing software solutions to enhance our data science technology stack.
Creating financial data APIs and numerical APIs.
Utilizing cloud and distributed computing technologies.
Implementing performance enhancements in data analysis and numerical programming code.
Conducting Proof of Concepts (POCs) to assess new technologies and libraries within the PyData ecosystem.
Collaborating with software engineers to devise data feeds for new sources from third-party vendors.
Leading and executing major components or features in our data science platform.
Mentoring, training, and providing technical guidance to junior team members regarding design and coding standards.
Engaging in other projects based on personal experience and interests.

Qualifications:

A degree in computer science from an accredited educational institution.
Strong analytical and problem-solving abilities.
Proficiency in Python programming with experience in implementing production-grade code.
Familiarity with Object-Oriented Programming (OOP) principles, data structures, and numerical algorithms.
Knowledge of various data storage technologies including RDBMS, S3, columnar databases, and NoSQL databases.
Experience with distributed computing frameworks such as 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 mandatory).
Excellent communication skills.
High energy levels and a strong work ethic.

Additionally, experience with any of the following would be beneficial:

Technologies like Hadoop, Spark, Kafka, and related tools.
Proficiency in Unix/Linux system tools and environments.
Basic understanding of unit testing, continuous integration, DevOps, and containerization.
Interactive data visualization and dashboard development.

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