Technical Equity Trading BSA

Technical Equity Trading Business Systems Analyst (BSA) We are seeking a highly skilled and technically proficient Business Systems Analyst (BSA) with deep domain expertise in equity trading and order management systems. The ideal candidate will have strong experience working with quantitative models in R, SQL-based data analysis, and TCA (Transaction Cost Analysis) datasets. This role requires close collaboration with trading desks, quant teams, and technology stakeholders to enhance and support equity trading models and systems. Key Responsibilities: Act as a liaison between business users (trading desks, quant teams) and technology teams to gather, analyze, and document requirements. Understand and enhance equity quant models written in R, ensuring alignment with business objectives and data integrity. Perform data analysis using SQL and R to support model validation, performance tracking, and reporting. Work with equity order and trade management systems to support trade lifecycle processes and ensure accurate data flow. Analyze and interpret TCA data to identify trading inefficiencies and support cost optimization strategies. Collaborate with developers and QA teams to ensure successful implementation of system enhancements and fixes. Participate in UAT and production validation of trading systems and models. Provide ongoing support and troubleshooting for trading-related issues. Communicate effectively with stakeholders, including front-office users, quant teams, and IT. Required Skills & Qualifications: 5+ years of experience as a BSA in equity trading or capital markets domain. Strong understanding of equity order and trade lifecycle, including FIX protocol, OMS/EMS systems, and post-trade processes. Proficiency in R programming for model analysis and enhancement. Advanced SQL skills for data extraction, transformation, and analysis. Experience working with TCA datasets and understanding of trading cost metrics. Excellent analytical, problem-solving, and communication skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Comfortable working onsite in San Francisco 3 days/week. Preferred Qualifications: Experience with quantitative trading models and statistical analysis. Familiarity with Python, Tableau, or other data visualization tools. Prior experience in a client-facing role within financial services. Knowledge of regulatory requirements related to equity trading (e.g., MiFID II, SEC). Work Environment: Hybrid work model with 3 days onsite in San Francisco office. Collaborative team environment with exposure to front-office trading operations.