Quantitative Analyst Jobs

As a Quantitative Analyst, you will be responsible for applying statistical and mathematical models to financial data to develop insights and make informed investment decisions. This role requires a strong background in mathematics, data analysis, and programming. With the rise of big data and advanced analytics, the demand for Quantitative Analysts is on the rise. The average salary range for a Quantitative Analyst is between $80,000 to $150,000 per year, depending on experience and location. To excel in this role, it's essential to have expertise in tools like Python and R programming, as well as a deep understanding of financial markets and risk assessment. Discover more about the exciting world of Quantitative Analysis in this article!

About this role

•5+ years of working experience and must have 3+ years of hands-on experience in quantitative models, research, with deep understanding in fixed income and/or market risk.

•Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus.

•Knowledge of treasury securities and/or mortgage-backed securities pricing and VaR modeling a big plus

•Strong analytical and problem-solving skills

•Excellent communication skills, both oral and written

• Maintain and enhance in-house fixed income risk models

• Design and produce model performance metrics and reports to support communications with both internal model users and external supervisors

• Independently format and validate analysis results to ensure quality

About StradIT

Stradit partners with capital-markets and asset-management leaders to embed production-grade AI into the core of their operations.

Team

Chloé W.