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BestEx Research

Offers multi-asset algorithmic trading execution

Algorithmic Trading Analyst

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeStamford, CT, USANo salary listedIn-person

About the Job

Requirements

  • A Bachelor's, Master's, or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science, or a related quantitative discipline.
  • A strong foundation in probability, statistics, and data analysis.
  • Working knowledge of Python, R, and SQL.
  • Willingness to work in person daily in the Stamford, Connecticut office.

Responsibilities

  • Develop a strong working knowledge of market structure and electronic trading behavior across several asset classes and regions.
  • Learn how algorithmic execution strategies, routing logic, and underlying trading systems work.
  • Evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
  • Test and support the trading product.
  • Build fluency in product planning and prioritization, and coordinate cross-functional communication across trading, technology, and client teams.
  • Develop working knowledge of global equities and futures market structure, including differences in electronic trading behavior across regions and asset classes.

About the Company

BestEx Research

Offers multi-asset algorithmic trading execution

BestEx Research builds algorithmic trading tools for buy-side firms to reduce transaction costs and improve execution across multiple asset classes. Its multi-asset trading algorithms work by iteratively measuring performance and executing trades in a systematic way, feeding results back for refinement, and integrating with EMS/OMS or broker execution. The company differentiates itself through a quantitative approach combined with founder Hitesh Mittal's industry experience to deliver transparent, high-performance execution tailored to client goals. Its aim is to lower costs and improve execution quality for clients by providing measurable trading performance and easy integration with existing systems.

Company size
51-200
Company stage
Early VC
Total funding
$16.5M
Headquarters
Stamford, CT
Founded
2017

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