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Quantitative Developer

Job details
  • Levy Search
  • London
  • 4 days ago
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We are partnered with a market-leading Quantitative investment firm that is looking for a Quantitative Developer in the Equities space to join a small, fast-paced team comprised of a Portfolio Manager, Quant researcher, and Software Engineer.


The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

Day to Day:

  • Work closely with the Portfolio Manager to create data engineering and prediction tools primarily for the strategic trading of commodities
  • Create software engineering solutions for quantitative analysis and trading
  • Aid in conceptualizing, programming, and maintaining tools for the strategic trading infrastructure of the team
  • Establish and sustain resilient data pipelines and databases that receive and convert substantial amounts of data
  • Develop procedures to verify the accuracy of the data
  • Implementation and management of systems to facilitate quantitative analysis (e.g., large-scale computation and serialization frameworks)
  • Real-time operation of such systems, including monitoring and preemptive identification of potential issues and intervention
  • Keep abreast of cutting-edge technologies and tools, including technical libraries, computing environments, and academic research
  • Engage with the PM and the trading group in an open environment, participating in the entire investment process

Technical Abilities:

  • Advanced proficiency in Python
  • Adept in contemporary data science tool stacks (Jupyter, Pandas, Numpy, SciPy) with experience in machine learning
  • Bachelor's or Master's degree in Computer Science or a related STEM field from a top-rated university
  • Skilled in quantitative analysis, mathematical modeling, statistics, regression, and probability theory
  • Proficient in professional software development methods, version control systems, unit testing and debugging tools, and microservices architecture
  • Excellent communication, problem-solving, and analytical skills, with the ability to swiftly grasp and apply intricate concepts

Ideal Background:

  • Over 2 years of experience in developing algorithmic trading systems, particularly in strategic Equity trading markets.
  • Experience collaborating effectively with cross-functional teams, juggling multiple tasks, and adapting to a fast-paced environment

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