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.
