London or New York

Jr. Solutions Quant

Solutions Quant

As a Quant in Capstone Solutions you will support and develop our discretionary and quantitative trading platforms with challenging, innovative problem solving across a breadth of asset classes and geographies. With a unique focus on derivatives, you will have the opportunity to be instrumental in the development of a world leading hedge fund and quantitative platform.

Your tasks will include implementing new trading infrastructures, building new quant libraries, and developing derivative based techniques and risk analysis tools. The scale and complexity of challenges we solve are always evolving. We welcome individuals looking for an exciting new challenge harnessing cutting edge technology to build solutions that drive our business.  


Capstone is a global, alternative investment management firm operating across a broad range of derivatives-based strategies with a deep understanding of volatility. We have approximately $12 billion of AUM and 300 employees globally, offering a collaborative work environment that encourages new ideas and an attitude of continuous improvement. Through strategic insight, market-leading expertise, and advanced technology, we seek to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.


  • Support both quantitative and discretionary trading platforms by building critical tools for trade and portfolio analysis, risk simulation, portfolio optimization, research and backtesting framework, reporting, and dashboards
  • Build and increase automation of the portfolio management and research process
  • Develop and maintain the technology infrastructure built for our unique Solutions business. Maintaining and updating the platform, ensuring its stability, robustness, and security
  • Troubleshoot and resolve any platform related issues and handle the release of code fixes and enhancements
  • Close interaction with PMs, structurers and other teams in a transparent environment, engaging with the whole investment process
  • Collaboration with wider quant group, and act as an integral part of the quantitative platform development for the whole firm


  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
  • At least 1 year of experience in a financial institution
  • Highly proficient in Python (other programming competencies are a plus)
  • Familiarity with Derivatives
  • Ability to confidently communicate with a keen analytical approach to problem solving

Location: London or New York 




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