Quantitative Software Engineer

Company : Diverse Lynx
Location : Chicago, IL, 60602
Posted Date : 15 October 2025
Job Type : Other
Category : Software Development
Occupation : Software Engineer
Job Details
Job Position: Quantitative Software Engineer
Job Location: Chicago, IL (Onsite)
Job Duration: Long Term Contract
Job Description:
Job Location: Chicago, IL (Onsite)
Job Duration: Long Term Contract
Job Description:
- Min. 10 year experience.
- Collaborate with business product owners and quantitative teams to understand help drive technology platform and solutions to meet quantitative and analytics needs for Quant Research business
- Work on the development of code libraries and solutions that leverage and appropriately augment existing structures to meet the needs of the research-driven investment and analysis processes, often in the absence of clearly documented specifications
- Lead and work with developers to identify which interim solutions (e.g., tools, applications, reports, data structures, etc.) have matured sufficiently to transition to a production environment, and produce specifications for such solutions, enabling IT to elevate strategically targeted prototypes to production
- Identify and evaluate the most appropriate methods, tools, datasets and technology solutions to address requirements
- Partnering with Product owners and Quants to help implement models to inform the investment decision making process
- Building large scale distributed computing programs to generate insightful analytics and present results in user-friendly visualization
- Implement standards, processes, and tools for numerical library testing and code quality controls
- Review implementation of complex models and algorithms focusing on requirement verification and code quality
- Conduct code review with peers and model developers and obtain their feedback
- Innovate and improve proprietary models and algorithms; design and deliver in terms of high reliability, resiliency and scalability
- Experience working with and analyzing large data sets, and using necessary libraries like PySpark, Pandas, Polars, Cuml, etc
- Proficiency in coding, demonstrated interest in translating algorithms and models into production quality code
- Expert knowledge in multiple programming language(s) - Python, PySpark, R, Java etc
- Python / PySpark is must have expertise
- Working knowledge of one or more relevant big data cloud computation platform like Databricks
- Experience building containerized applications and deploying to public or private clouds, such as Microsoft Azure, Amazon Web Services (AWS) or similar providers
- Experience of web based development and visualization technology for portraying large and complex data sets and relationships
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