Senior Quantitative Developer

You will build and scale technology platforms to support quantitative research and investment analysis processes.

Responsibilities

• Collaborate with product owners and quantitative teams to drive technology solutions for research-driven investment needs.
• Develop code libraries and large-scale distributed computing programs to generate analytics and user-friendly visualizations.
• Transition matured interim tools, applications, and data structures into production environments by producing technical specifications.
• Implement standards and tools for numerical library testing, code quality controls, and peer code reviews.
• Design and deliver high-reliability, scalable proprietary models and algorithms.

Required Skills

• 12+ years of progressive experience in software engineering and quantitative analysis.
• Expert-level proficiency in Python and PySpark.
• Strong programming skills in R and Java.
• Advanced mathematical knowledge in statistics, time-series analysis, asset pricing theory, and algorithms.
• Experience analyzing large datasets using libraries such as Pandas, Polars, PySpark, or Cuml.
• Working knowledge of big data cloud platforms like Databricks.
• Solid understanding of tradable financial instruments, including securities and derivatives, and capital markets.
• Experience with real-time, batch, and orchestration architectures.
• Strong Test-Driven Development (TDD) practices.
• Advanced degree in Computer Science, Math, or Financial Engineering.

Preferred Skills

• Experience working directly with Product Owners to implement investment decision-making models.
• Familiarity with AWS environments.