Quantitative Strategist: Desk-side Alpha & Live Impact

Mondrian Alpha; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Mondrian Alpha is seeking a Quantitative Strategist in New York to engage in high-visibility research, development, and direct investment decision support. This unique role combines empirical research with practical application, working alongside portfolio managers and traders.

The ideal candidate will have an advanced degree, 2–5 years’ experience, and proficiency in Python and SQL. You will contribute significantly to systematic signal design and real-time analytics, within a collaborative and intellectually rigorous environment.

Qualifications

• 2–5 years of experience as a quantitative strategist, researcher, or developer.
• Deep proficiency in Python; knowledge of scientific data stack preferred.
• Ability to communicate quantitative ideas to non-quant audiences.

Responsibilities

• Design and test systematic signals across financial markets.
• Build and maintain production-quality research pipelines.
• Partner with traders and PMs on analytics and risk monitoring.

Skills

Quantitative analysis

Python proficiency

SQL exposure

Empirical research

Data-driven insight

Education

Advanced degree (MS or PhD) in mathematics, statistics, or related

Tools

Scientific/data stack (pandas, numpy, scipy, scikit-learn)

Job description

Mondrian Alpha is seeking a Quantitative Strategist in New York to engage in high-visibility research, development, and direct investment decision support. This unique role combines empirical research with practical application, working alongside portfolio managers and traders.

The ideal candidate will have an advanced degree, 2–5 years’ experience, and proficiency in Python and SQL. You will contribute significantly to systematic signal design and real-time analytics, within a collaborative and intellectually rigorous environment.