Title: Senior Quantitative Developer Location : Chicago, IL - Onsite Hybrid 3 days to office (local candidates ONLY!) Duration : 6 months Responsibilities 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 Tech, business and leadership skills Strong domain skills - Quantitative Research, Risk, Equity Portfolio Management etc. Works in many technologies and adapts fast to new technologies Adept with various architectures including real-time, batch, orchestration Adept with multiple parts of the software lifecycle (e.g., coding, testing, development) Stays abreast of industry trends and technologies and knows when / how / if to apply them appropriately Conversant with providing a clear explanation of strategy, technical concepts, designs or implementation to a non-technical audience Qualifications An advanced Computer Science, Math or Financial Engineering degree from a reputed institution. 12+ years of progressive experience in software engineering and quantitative analysis. Willingness and excitement to learn unfamiliar quantitative subjects or tools / technologies, as required on the job. Strong analytical skills; 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 Strong Test-Driven Development and desire to write simple, adaptive and iterative code A solid understanding of tradable financial instruments (securities, derivatives) and capital markets An advanced level of relevant mathematical knowledge e.g. statistics, time-series analysis, asset pricing theory, algorithms Experience with algorithms and data structures Preferred Experience of front office software development with an Asset Management, Hedge fund or Investment Bank Experience building containerized applications and deploying to public or private clouds, such as Client 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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