Macro Quant Researcher

Anson McCade
Closing date
8 Jul 2021

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Macro Quant Researcher

Our client develops and deploys systematic financial strategies across a variety of asset classes and global markets. They seek to produce high-quality trading signals (Alphas) through their proprietary research platform to employ trading strategies focused on exploiting market inefficiencies. The teams work collaboratively to drive the production of Alphas and financial strategies - the foundation of a sustainable, global trading platform.

Research is at the core of the firm. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, their researchers are in constant search of new Alphas. They strive to understand data in ways competitors don't believe is possible. Researchers employ tested processes seeking to identify Alphas that they believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in their quantitative models.


They are seeking an exceptional individual to join the firm as a Quantitative Analyst and help drive the build out of a new quant macro business. While prior finance experience is not required, you must possess a strong interest in learning about finance and global markets. You will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. You will also focus on theorizing, reasoning, and investigating how to address various aspects of trading in the macro space. Quant Macro is a new business line that aspires to be a strong contributor to their continued growth and success.

  • Ph.D. or M.S. degree from a leading university in a quantitative or highly analytical field (e.g. - Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
  • Graduated at the top of your respective educational program, with excellent problem solving abilities, insight, and judgment with a strong attention to detail
  • Demonstrated ability to program, preferably in Python, C++ or another leading language
  • Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization
  • Strong communication skills; ability to express complex concepts in simple terms

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