Quanta Search
Senior Software Engineer (Python - Commodities)
Quanta Search, Chicago, Illinois, United States, 60290
Our client is a trading firm with over 30 years of experience, using advanced technology and skilled people to work in markets around the world. They're based in Chicago, but have offices across the U.S., Canada, Europe, and Asia. They trade in various asset types, such as Fixed Income, Equities, ETFs, Commodities, and FX.
Your Role:
Collaborate with the trading team to carry out research studies, analytics, and production models designed for commodities trading. Oversee Python development environment, customized specifically for data-intensive tasks. Create web user interfaces for data examination and presentation of research outcomes. Develop a supportive infrastructure to make trading data sets both accessible and useful. Handle production workflows for real-time forecasting, modelling, and analytics within Linux compute setting. Assist in back testing, the development of systematic trading strategies, and their deployment into real-time trading setting. Cooperate with research infrastructure team to optimize the use of Linux computer cluster. Join forces with data management teams to streamline practices for data collection, storage, and accessibility within research workflows. Join a community of experts, where you can both learn and contribute to research activities across the firm. This role is based in Chicago office. Your Skills:
Proven experience as a senior software engineer. Solid Python expertise and a track record of working with data scientists & researchers. Capability to guide researchers on the best practices in software engineering. Experience in developing web-based user interfaces. Experience in building and storing data in relational databases and/or NoSQL-like data stores. A track record demonstrating your ability to own a product or infrastructure. Experience of working alongside trading analysts & traders. Familiarity with options trading. Experience with either Java or C++ and in building backend infrastructure. Experience in deploying systems into a real-time trading environment. An excellent compensation package is available for the right candidate.
Your Role:
Collaborate with the trading team to carry out research studies, analytics, and production models designed for commodities trading. Oversee Python development environment, customized specifically for data-intensive tasks. Create web user interfaces for data examination and presentation of research outcomes. Develop a supportive infrastructure to make trading data sets both accessible and useful. Handle production workflows for real-time forecasting, modelling, and analytics within Linux compute setting. Assist in back testing, the development of systematic trading strategies, and their deployment into real-time trading setting. Cooperate with research infrastructure team to optimize the use of Linux computer cluster. Join forces with data management teams to streamline practices for data collection, storage, and accessibility within research workflows. Join a community of experts, where you can both learn and contribute to research activities across the firm. This role is based in Chicago office. Your Skills:
Proven experience as a senior software engineer. Solid Python expertise and a track record of working with data scientists & researchers. Capability to guide researchers on the best practices in software engineering. Experience in developing web-based user interfaces. Experience in building and storing data in relational databases and/or NoSQL-like data stores. A track record demonstrating your ability to own a product or infrastructure. Experience of working alongside trading analysts & traders. Familiarity with options trading. Experience with either Java or C++ and in building backend infrastructure. Experience in deploying systems into a real-time trading environment. An excellent compensation package is available for the right candidate.