Real-Time Quant Strategist for Trading & Risk

Mondrian Alpha; New York (NY); On-site; USD 120,000 - 230,000; Full time

Job summary

Mondrian Alpha in New York is seeking a Quantitative Strategist to join as an individual contributor, partnering with investment professionals to deliver high-impact projects supporting trading, alpha generation, risk management, portfolio analytics, and decision-making.

This role focuses on advancing quantitative technology, improving analytics infrastructure, and directly influencing investment decisions through rigorous research and efficient productionalization of models.

Qualifications

• 2+ years of front-office quantitative development, quantitative research, or quantitative strategy experience.
• Advanced degree in a quantitative field (Physics/Engineering/Math/Mathematical Finance/CS).
• Strong proficiency in Python and data-analysis libraries (Pandas, NumPy).
• Experience with financial data, quantitative models, or investment analytics.

Responsibilities

• Develop real-time P&L and risk management systems.
• Build interactive analytical tools for portfolio management teams.
• Implement trading signals across a wide range of asset classes.
• Identify opportunities where AI and analytics can enhance research, risk management, and decision-making.
• Provide quantitative technology support for investment projects including reporting, backtesting, model development, and implementation of new strategies.
• Develop and implement quantitative models and analytical frameworks.
• Analyze large datasets to identify patterns and opportunities.
• Collaborate with tech and investment teams to productionize quantitative research.
• Communicate complex quantitative concepts to technical and non-technical stakeholders.

Skills

Python

Pandas/NumPy

SQL

Quantitative development

Communication

Problem solving

Education

Advanced degree in Physics/Engineering/Mathematics/Mathematical Finance/CS

Tools

C#

R

Job description

Mondrian Alpha in New York is seeking a Quantitative Strategist to join as an individual contributor, partnering with investment professionals to deliver high-impact projects supporting trading, alpha generation, risk management, portfolio analytics, and decision-making.

This role focuses on advancing quantitative technology, improving analytics infrastructure, and directly influencing investment decisions through rigorous research and efficient productionalization of models.