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SS&C Technologies

AI Business Analyst

SS&C Technologies

. Work as a Business Analyst within Financial Operations, FinTech, or Enterprise Automation programs .

Posted 9/21/2026full-timeHyderabad • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Business Analysis within Financial Operations, FinTech, or Enterprise Automation, with a strong focus on process modeling using BPMN and UML, and proficiency in SQL for data analysis. Possesses in-depth knowledge of financial products, back-office workflows, and trade management lifecycles.

Highest-signal resume keywords
Business AnalysisProcess Modeling (BPMN, UML)Financial Products KnowledgeSQL ProficiencyAI Automation Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Business AnalysisProcess ModelingFunctional Specification WritingSQLData Analysis
Industry Keywords
Financial OperationsFinTechEnterprise AutomationBack-Office Processing WorkflowsTrade Management LifecyclesOperational Risk Controls

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Work as a Business Analyst within Financial Operations, FinTech, or Enterprise Automation programs
  • Model processes using BPMN and UML standards
  • Write detailed functional specifications
  • Apply knowledge of financial products, back-office processing workflows, and trade management lifecycles
  • Assess AI automation capabilities, data extraction limitations, and operational risk controls
  • Query databases and analyze operational data using SQL

Requirements

What you’ll need
  • 5–8 years as a Business Analyst within Financial Operations, FinTech, or Enterprise Automation programs
  • Demonstrated skill in process modeling standards (BPMN, UML) and detailed functional specification writing
  • Strong working knowledge of core financial products, back-office processing workflows, and trade management lifecycles
  • Practical understanding of AI automation capabilities, data extraction limitations, and operational risk controls
  • Proficiency in SQL for independent database querying and operational data analysis