Senior Quantitative Developer at Chicago, IL (Hybrid Onsite)

Tech, business and leadership skills

1. Strong domain skills Quantitative Research, Risk, Equity Portfolio Management etc.
2. Works in many technologies and adapts fast to new technologies
3. Adept with various architectures including real-time, batch, orchestration
4. Adept with multiple parts of the software lifecycle (e.g., coding, testing, development)
5. Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately
6. Conversant with providing a clear explanation of strategy, technical concepts, designs or implementation to a non-technical audience

Qualifications

1. An advanced Computer Science, Math or Financial Engineering degree from a reputed institution.
2. 12+ years of progressive experience in software engineering and quantitative analysis.
3. Willingness and excitement to learn unfamiliar quantitative subjects or tools/technologies, as required on the job.
4. Strong analytical skills; experience working with and analyzing large data sets, and using necessary libraries like PySpark, Pandas, Polars, Cuml, etc.
5. Proficiency in coding, demonstrated interest in translating algorithms and models into production quality code
6. Expert knowledge in multiple programming language(s) - Python, PySpark, R, Java etc. Python / PySpark is must have expertise
7. Working knowledge of one or more relevant big data cloud computation platform like Databricks
8. Strong Test-Driven Development and desire to write simple, adaptive and iterative code
9. A solid understanding of tradable financial instruments (securities, derivatives) and capital markets
10. An advanced level of relevant mathematical knowledge e.g. statistics, time-series analysis, asset pricing theory, algorithms
11. Experience with algorithms and data structures