Quant Strategist/Developer - Hedge Fund - Up to $750K TC

Mondrian Alpha; New York (NY); Vor Ort; USD 150.000 - 230.000; Vollzeit

Zusammenfassung

Mondrian Alpha in New York is seeking a quantitative strategist for the front-office analytics group to design and implement risk, P&L, pricing, and analytics tools across assets.

You will translate business requirements into specs for engineers, validate models with technologists, and ensure production-ready delivery in a fast-paced trading environment.

Strong Python/C++ skills and market data understanding are essential; experience with large-scale analytics and risk dashboards is a plus.

Qualifikationen

• 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.
• Comfortable interpreting risk and P&L outputs and assessing whether results make sense in real trading conditions.
• Strong communication skills and the ability to work effectively across traders, quants, and engineers.

Aufgaben

• 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 clear quantitative and functional specifications for engineering teams.
• Work closely with technologists to validate analytics and models, and help guide 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.

Kenntnisse

Python

C++

Analytics libraries

Data-driven systems

Cross-functional collaboration

Tools

Pandas

NumPy

Git

Jobbeschreibung

A global hedge fund is looking to add a quantitative strategist to a front-office quantitative analytics group supporting trading across multiple asset classes. This role sits at the intersection of trading, quantitative analytics, and engineering, with a focus on ensuring quantitative tools, models, and systems are correctly designed, implemented, and used across the business.

This position is well suited for a strong quantitative profile who enjoys working across markets, data, and large systems, and who is comfortable acting as a bridge between traders, quants, and engineers in a fast-moving trading environment.

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 clear quantitative and functional specifications for engineering teams.
• Work closely with technologists to validate analytics and models, and help guide 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.

Requirements:

• 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.
• Comfortable interpreting risk and P&L outputs and assessing whether results make sense in real trading conditions.
• Strong communication skills and the ability to work effectively across traders, quants, and engineers.
• Enjoys operating in a fast-paced, front-office environment with frequent context switching.