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Quant Strategist/Developer - Hedge Fund

  • Source: LinkedIn
  • Mondrian Alpha
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

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).
  • Strong quantitative foundation.
  • 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.

To apply, directly submit your CV to this job posting, or email to [email protected].

Skills

  • Python
  • cplusplus
  • mondrian

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