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Sr Manager Business Systems Analysis (Mid-Office Equity Settlement Technology)
Lead the definition, design, and implementation of technology solutions within the Capital Markets division, focusing on complex business problems within Mid-Office and Equity Settlement. You will manage a team of analysts, coordinate projects, and act as a critical bridge between business stakeholders, engineering, and vendors to ensure seamless post-trade processing and trade lifecycle operations
Key Responsibilities
Requirements Engineering: Elicit, analyze, and document complex business requirements aligned with strategic objectives.
Strategic Planning: Assist in formulating the technology roadmap for mid-office and post-trade applications.
System Implementation: Lead the systems implementation process, including test strategies, user workflows, and conversion plans.
Technical Resolution: Resolve multi-faceted bookkeeping and posting issues for Institutional Equity, Cash, and Electronic Execution desks.
Agile Leadership: Lead Agile ceremonies (Scrums) and coordinate project workstreams within a global engineering framework.
Stakeholder Management: Build and leverage relationships with senior partners to validate requirements and manage project scope.
Mentorship: Coach and guide junior Business Analysts and technical staff.
Qualifications & Skills
Experience: 5–7 years of Business Analysis in Capital Markets (Institutional Brokerage or specialized Fintech vendor).
Education: University degree in Finance, Computer Science, or a related field.
Domain Expertise: Strong understanding of the Institutional Equity business, including listed products (Equity, Options, Debentures, ETFs).
Technical Proficiency:
Hands-on experience with double-entry bookkeeping and journal principles.
Deep knowledge of trade protocols and platforms (e.G., FIX Protocol, Broadridge suites, or similar Order Management Systems).
Familiarity with Depository Settlement Processes (e.G., DTCC/CDS) and post-trade matching tools (e.G., CTM, FMC).
Methodology: Expert-level knowledge of the SDLC and Agile development processes.
Analytical Skills: Proficient in data modeling and process mapping.
