About BestEx Research

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), an algorithm customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for U.S., Europe, and Canadian equities and global futures trading.

BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. BestEx Research uses leading-edge technology to support its low-latency, highly scalable research and trading systems, with its backend in C++, research libraries in C++/Python and R, and web-based technologies for delivering its front-end platforms.

BestEx Research’s mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients.

Description
We are seeking an experienced algorithmic trading consultant who is a skilled analytical storyteller with strong coding skills and statistical background to join our Stamford, CT team as a Senior Execution Consultant. This role plays a critical function in monitoring, evaluating, and optimizing algorithm performance across a diverse client base. This team member will be responsible for monitoring client performance as well as producing meaningful insights and actionable recommendations that drive value for both individual clients and the firm at large.

This role offers significant opportunity for growth, including increased ownership of client relationships, influence on execution strategy, and collaboration across product and business development teams. As a central contributor to performance analysis, this position benefits from direct collaboration with firm leadership and offers a clear contribution to revenue generation.

Responsibilities

• Understand and document clients’ evolving goals, needs, measurement process, and related outcomes
• Manage the end-to-end process of regular behavior and performance monitoring  at the individual customer level and across the client base globally
• Assess the impact of algorithmic changes for specific clients, as well as in firm-wide applications, with a data-driven, practical statistical approach
• Produce insightful analysis through rigorous coding, data analysis, and visualization
• Translate complex performance data into clear, actionable insights and recommendations for clients and internal stakeholders in periodic reviews
• Design and deliver high-quality presentations that communicate performance results and strategic recommendations
• Stay abreast of changes to market structure and liquidity conditions, contribute to educating team members and clients where appropriate
• Serve as a liaison between internal teams and external clients, ensuring alignment and responsiveness to client performance-related inquiries

Requirements

• MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline
• 3-5 years of prior experience in US equity electronic trading performance evaluation
• 5+ years of experience in answering research questions supported by statistical evidence–going beyond reporting results to generating meaningful insights
• 5+ years experience in coding for data analysis (e.g., Python, SQL, R) and visualization
• Proven ability to interpret and present complex data to technical and non-technical audiences in a meaningful story arc–beyond reporting results to actionable insights
• Understanding of algorithmic execution strategies, parameters, and optimization
• Deep understanding of US equities market structure and microstructure; global equities, futures helpful
• Ability to manage multiple priorities in a fast-paced, client-facing environment
• Extraordinary attention to detail and a structured approach to documentation and process management
• Willing to work in Stamford, CT in person daily and travel to meetings as needed, globally (current frequency is 2-3 times per month, though this is expected to evolve)
• A positive, collaborative attitude and drive to take ownership of one’s work, explore data to answer open questions, and go above and beyond to deliver on shared goals