Centraprise

Sr. Quantitative Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Quantitative Developer in Chicago, IL, on a 12+ month contract, offering a competitive pay rate. Requires an advanced degree, 12+ years of experience, proficiency in Python/PySpark, and strong analytical skills in financial markets.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
February 26, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
Unknown
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#Spark (Apache Spark) #Python #R #Programming #Cloud #Libraries #Big Data #PySpark #Databricks #Java #Computer Science #Mathematics #Pandas #Statistics #Visualization #Azure #Datasets #AWS (Amazon Web Services)
Role description
Sr. Quantitative Developer Chicago, IL 12+ Months Contract Job Description: Qualifications: β€’ Advanced degree in Computer Science, Mathematics, or Financial Engineering from a reputed institution. β€’ 12+ years of progressive experience in software engineering and quantitative analysis. β€’ Strong analytical skills; experience working with large datasets and libraries like PySpark, Pandas, Polars, CuML. β€’ Proficiency in Python/PySpark (mandatory), R, Java, and other programming languages. β€’ Demonstrated ability to translate algorithms and models into production-quality code. β€’ Working knowledge of big data/cloud platforms such as Databricks. β€’ Strong Test-Driven Development skills; writes simple, adaptive, iterative code. β€’ Solid understanding of tradable financial instruments (securities, derivatives) and capital markets. β€’ Advanced mathematical knowledge: statistics, time-series analysis, asset pricing theory, algorithms. β€’ Experience with algorithms and data structures. β€’ Willingness to learn unfamiliar quantitative subjects, tools, or technologies as required. Preferred Qualifications: β€’ Experience in front-office software development at Asset Management, Hedge Funds, or Investment Banks. β€’ Experience building containerized applications and deploying to public/private clouds (AWS, Azure, etc.). β€’ Experience with web-based development and visualization for large, complex datasets.