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Home Based Algorithmic Trading Programmer Jobs (NOW HIRING)

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... of trading and transaction data, generate insights, prioritize them and build solutions based on ...

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... of trading and transaction data, generate insights, prioritize them and build solutions based on ...

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated ... You will work closely with experienced traders, software engineers, and quantitative researchers to ...

$109.30K - $149.50K/yr

Join our innovative proprietary trading firm dedicated to developing cutting-edge algorithmic ... Expert-level proficiency in C++ or Rust programming. * Strong background in high-frequency trading ...

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How much do home based algorithmic trading programmer jobs pay per hour?

As of May 30, 2026, the average hourly pay for home based algorithmic trading programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.
What cities are hiring for Home Based Algorithmic Trading Programmer jobs? Cities with the most Home Based Algorithmic Trading Programmer job openings:
What are the most commonly searched types of Algorithmic Trading Programmer jobs? The most popular types of Algorithmic Trading Programmer jobs are:
What states have the most Home Based Algorithmic Trading Programmer jobs? States with the most job openings for Home Based Algorithmic Trading Programmer jobs include:

Quantitative Researcher/Developer, Algorithmic Trading Analytics

Quanta Search

Los Angeles, CA โ€ข On-site

Full-time

Posted 2 days ago


Job description

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)
Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com