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Morgan McKinley

Quant Analyst/Researcher

Morgan McKinley
Singapore · Full-time · Mid-Senior

A leading Asia-based firm specializing in digital asset trading and structured products is looking for a highly skilled Quantitative Analyst/Researcher to join its front-office team. Operating at the forefront of crypto innovation, the company offers a wide range of solutions including options market making, bespoke derivatives, and institutional-grade digital asset strategies.


Key Responsibilities:


  • Design and maintain pricing models and risk analytics for exotic crypto derivatives.
  • Collaborate with traders and structurers to develop execution algorithms and next-gen analytical tools.
  • Conduct quantitative research using statistical and machine learning techniques to enhance trading performance.
  • Build robust, scalable systems to support pricing, hedging, and risk across multiple asset classes.
  • Backtest and optimize trading strategies using real-world data and market conditions.
  • Provide technical documentation, training, and mentorship to internal stakeholders.


Requirements:


  • Advanced degree in Computer Science, Mathematics, Finance, or a related field.
  • Strong programming experience (preferably C#/C++); strong grasp of data structures and quantitative libraries.
  • Deep knowledge of derivative pricing, stochastic processes, Monte Carlo simulations, PDEs, and exotic product modeling.
  • Experience building trading infrastructure, tools for structuring teams, and exchange integration.
  • Familiarity with digital asset markets and blockchain technologies will be highly advantageous
  • Excellent problem-solving, communication, and cross-functional collaboration skills.


If you're interested in the above role, click on the 'apply' function now! Alternatively, you can contact Mon Fei at [email protected] for a confidential discussion. Only shortlisted candidates will be notified.


Morgan McKinley Pte Ltd


Chow Mon Fei


EA Licence No: 11C5502


EA Registration No. R1877534

Key Skills

Ranked by relevance

machine learning data structures blockchain
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Posted
Jul 25, 2025
Type
Full-time
Level
Mid-Senior
Location
Singapore

Industries

Financial Services Technology Information Media

Categories

Information Technology Finance

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