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Quantitative Researcher/Developer, Algorithmic Trading Analytics

Quanta Search

Our client, a leading Asset Management firm, is hiring for a Quantitative Researcher/Developer in Algorithmic Trading Analytics

Job Responsibilities (include, but not limited to the following):
  • Build backend services for capture, storage and analysis of various datasets required to measure transaction costs
  • Develop web front end for Trade Cost Analysis (TCA)
  • Develop statistical models and machine learning frameworks for evaluation of execution methods and algorithms
  • Research market impact and information transfer phenomena for various asset classes
  • Data modelling and development of systematic trading strategies


Candidate profile:
  • B.S., B.A., M.S., M.F.E or Ph.D. degree in technical field
  • Market Data Specialist, Market Microstructure
  • Familiarity with equity fundamental databases, Compustat, FactSet, Reuters WorldScope, RavenPack
  • Data Science, Data Analysis, Machine Learning, Neural Networks, Deep Learning
  • Ability to assess buy vs build tradeoffs and performance tradeoffs at all levels of the technology stack
  • Programming skills:
– Experience with kdb+/Q (required)
– Proficiency in at least one compiled language like Go/Rust/Scala/C++/Java (required)
– Proficiency in at least one scripting language like R/Python/Ruby/V8 (required)
– Experience with modern development stack (GitLab/Docker/Kubernetes/Rancher) (desirable)
Vacancy posted 11 hours ago
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