BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.

Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including Transaction Cost Analysis (TCA), Strategy Studio for algorithm customization, trading dashboards, and pre-trade analytics in a single platform. The platform is currently live across U.S., European, and Canadian equities and global futures markets.

BestEx Research is transforming a $100 billion industry by replacing traditional black-box execution with transparent, data-driven, and customizable algorithmic trading solutions. Our technology stack combines high-performance C++, Python, R, cloud infrastructure, and advanced quantitative research to build next-generation trading systems.

Our mission is to become the global leader in execution analytics and algorithmic trading while helping clients significantly reduce transaction costs across asset classes. Visit our website to learn more about our products, research, and mission.

Responsibilities:

• Lead execution services supporting clients using algorithmic trading during AMER hours for  cash equities and futures.
• Monitor live algorithms, troubleshoot issues, manage client  communications, and oversee trading risk during production events.
• Maintain deep working  knowledge of execution algorithms to address client inquiries and diagnose performance or behavior  issues.
• Act as a subject-matter resource for clients and internal teams. Understand client trading  strategies and usage patterns. Recommend appropriate algorithms, conduct TCA reviews, and  support increased platform adoption.
• Lead response during system issues or market events, including  escalation, risk oversight, and client communication. Maintain risk management procedures for  algorithmic execution.
• Partner with technology and quantitative teams to improve monitoring,  diagnostics, and platform stability.
• Lead beta testing and support client onboarding for new  algorithmic features. 

REQUIREMENTS: 

Bachelor's degree, or equivalent, in Computer Science, Information Technology,  Software or Computer Engineering, or related discipline + 5 years of relevant experience. 

LOCATION: 2 Landmark Sq, Suite 214, Stamford, CT – 06901. Job may require some travel  in the US with expenses paid by employer (less than 30% of time every year). 40hrs per week. 

Applicant must be authorized to work in the United States.