Front-Office Quant Strategist & Developer

Mondrian Alpha; New York (NY); On-site; USD 120,000 - 210,000; Full time

Job summary

Mondrian Alpha in New York is seeking a quantitative strategist to join a front-office analytics group supporting trading across multiple asset classes. The role sits at the intersection of trading, analytics, and engineering, focusing on designing and deploying quantitative tools and models for production use.

You will bridge traders, quants, and engineers, translating business requirements into quantitative specifications, validating models with technologists, and guiding prototypes into

Qualifications

• 2–7 years of experience in a quantitative role (e.g. QA, QR, QD, or desk-facing analytics).
• Broad understanding of financial markets and market data.
• Proficiency in Python and/or C++; ability to work with large analytics libraries and data-driven systems.
• Strong communication skills and ability to work across traders, quants, and engineers.

Responsibilities

• Act as a quantitative partner to trading and analytics teams, supporting the design and evolution of risk, P&L, pricing, and analytics tools.
• Translate business and trading requirements into quantitative and functional specifications for engineering teams.
• Collaborate with technologists to validate analytics and models, guiding prototypes into scalable, production-ready systems.
• Analyze market data and system outputs to ensure results are intuitive, consistent, and aligned with market behavior.
• Coordinate across trading, quantitative, and technology stakeholders to ensure quantitative solutions are delivered accurately and efficiently.
• Maintain and enhance existing analytics and tools as market conditions, products, and systems evolve.

Skills

Python

C++

Analytics libraries

Communication

Job description

Mondrian Alpha in New York is seeking a quantitative strategist to join a front-office analytics group supporting trading across multiple asset classes. The role sits at the intersection of trading, analytics, and engineering, focusing on designing and deploying quantitative tools and models for production use.

You will bridge traders, quants, and engineers, translating business requirements into quantitative specifications, validating models with technologists, and guiding prototypes into