Our client, an extremely successful global hedge fund is looking for a Quantitative Software Engineer with particular strength in Data tools and infrastructure solutions.
Candidates must have 4-8 years of professional software engineering experience with particular strength in Python (ideally Pandas, Numpy) coupled with experience building data platform tools and infrastructure solutions for data pipelines at various scales. Some quantitative experience would be a major plus as would be experience with ML, cloud and DevOps tools, and ETL/ELT technologies such as Airflow. Experience with data storage and manipulation tools such as Pandas, Elasticsearch, Kibana and Snowflake would also be a major plus.
Responsibilities will include:
-Developing data platform tools for use in investment thesis generation and testing, and building infrastructure solutions for data pipelines.
-Designing and implementing high-performing and robust libraries of re-usable tools for utilization in thematic research process.
-Collecting requirements, designing and implementing reporting, analytic and visualization tools.
-Working closely with Thematic team to design and build repeatable analytic tools to answer investment related questions
-Designing, maintaining and monitoring automated quantitative screening of investment strategies
This is a new position with a rapidly expanding department.
In addition to exceptional benefits, the company offers EXTREMELY large bonuses.