Senior Quantitative Research Software Developer
1 month ago
We are a leading diversified trading firm, operating with respect, curiosity, and open minds. Our team shares the belief that it's not just what we do that matters, but how we do it.
As a Senior Quantitative Research Software Developer in our Commodities trading group, you will be responsible for building a first-class platform for quantitative & fundamental research. You will work closely with researchers and traders to create a robust and productive environment for data analysis, research, and modeling.
Your primary responsibilities will include:
- Create tools and workflows that enable exploratory research
- Craft Python APIs that enable research productivity
- Work with researchers to implement research studies, analytics, and production models for commodities trading
- Define and maintain our Python research environment, tailored for data-intensive workloads
- Build dashboards for data exploration and delivery of research results
- Build data and machine learning infrastructure to make trading datasets accessible and useful to our researchers
- Manage production workflows for real-time forecasting, modeling, and analytics in our Linux compute environment
- Build systems for backtesting & development of systematic trading strategies and deployment into our production trading environment
- Collaborate with DRW's research infrastructure team to leverage our Linux computer cluster
You may bring to the team:
- Strong Python knowledge
- Working expertise of numerical modeling and data analytics (numpy, pandas, scikit-learn)
- Passion for developer experience and expertise in API design and usability
- Experience building and scaling large-scale analysis or machine learning tools
- Experience with modern data technologies (PostgreSQL, Snowflake, Redshift, Apache Airflow, dbt)
- Data visualization expertise (Plotly, Panel, Dash)
- Ability to own delivery of complex projects end-to-end (stakeholder management, requirement gathering, mentoring junior engineers)
The estimated salary for this position is $180,000 per year, based on industry standards and the location of Chicago.
Our ideal candidate has a strong background in software engineering, with a Computer Science or advanced STEM degree. We offer a dynamic and collaborative work environment, where you can learn from your peers and contribute to cutting-edge research in the field of quantitative finance.
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