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SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
Business Analyst – Role Profile
Role Purpose
The Senior Business Analyst works collaboratively across business and technology teams to analyse, design, and deliver process and system improvements. Operating within a hybrid transformation environment, the role plays a key part in defining requirements, optimising workflows, supporting intelligent automation initiatives, and ensuring high-quality delivery through structured testing and stakeholder engagement.
The role supports strategic transformation programmes across the business, including operational re-engineering, service enhancement, capacity creation, automation delivery, and the adoption of AI-powered solutions across the full trading and operational lifecycle.
In addition to supporting AI and automation initiatives, the Business Analyst is expected to utilise AI-enabled tools and techniques to accelerate business analysis, process discovery, requirements gathering, documentation production, testing activities and overall delivery execution while maintaining governance, quality and compliance standards.
Key Responsibilities
Requirements & Analysis
- Engage with stakeholders to gather, analyse, validate and document business requirements.
- Produce clear and structured documentation including Process Design Documents (PDDs), user stories, acceptance criteria, business cases, use cases and process maps.
- Analyse current business processes to identify inefficiencies, risks and opportunities for optimisation, automation and AI adoption.
- Evaluate new technologies, automation opportunities and AI capabilities, ensuring strong business cases and measurable benefits.
- Act as the bridge between business teams, technology teams, data teams and operations functions.
- Leverage AI-powered analysis tools to accelerate requirements gathering, documentation creation and impact assessments.
- Apply data-driven analysis techniques to identify opportunities for process improvement and business value creation.
Process & Workflow Design
- Own the definition and design of future-state operating models and workflows.
- Model business processes using Business Optix or equivalent process modelling platforms.
- Facilitate workshops, interviews and discovery sessions with stakeholders across multiple business functions and locations.
- Ensure all process changes follow appropriate governance, change control and documentation standards.
- Take ownership of process and tool design on behalf of business stakeholders and secure approval.
Automation, AI & Agentic Capabilities
- Support the design and delivery of RPA and intelligent automation solutions.
- Collaborate with technical teams to integrate AI, Machine Learning, LLMs, VLMs and Agentic AI capabilities into business processes.
- Identify opportunities to leverage AI for decision support, document processing, workflow orchestration, knowledge management and conversational experiences.
- Elicit, document and validate requirements for Agentic AI solutions, including governance controls, escalation paths and human-in-the-loop processes.
- Support the design of digital workers and multi-agent workflows that automate end-to-end business processes.
- Work closely with Automation Developers, AI Engineers and Solution Architects to translate business needs into scalable solutions.
- Maintain awareness of emerging automation and AI technologies and assess their applicability to business challenges.
UAT Ownership
- Create and manage the full UAT lifecycle, including test strategies, plans, scripts and acceptance criteria.
- Coordinate UAT execution with business users and stakeholders.
- Ensure defects are logged, triaged and resolved efficiently.
- Validate that delivered solutions meet business, regulatory and operational requirements.
- Leverage AI-assisted testing tools to generate test cases, test scenarios and regression coverage.
- Support automation testing initiatives and intelligent quality assurance practices.
- Establish traceability between requirements, testing activities and delivered outcomes.
- Provide clear reporting on quality, risks and production readiness.
Delivery & Stakeholder Engagement
- Support delivery teams throughout design, build, testing and implementation phases.
- Monitor project progress and ensure alignment with business objectives and timelines.
- Develop strong relationships across Operations, Technology, Risk and Business functions.
- Support change adoption and continuous improvement initiatives.
- Coach stakeholders in identifying and prioritising automation and AI opportunities.
- Promote efficient use of AI-enabled delivery tools within transformation projects.
Essential Skills & Experience
Technical & Analytical
- Proven experience as a Business Analyst within change, transformation or technology programmes.
- Strong requirements gathering, process analysis and documentation skills.
- Experience using Generative AI tools such as Claude, Copilot, ChatGPT Enterprise or equivalent enterprise AI solutions.
- Ability to critically evaluate AI-generated outputs and ensure quality and accuracy.
- Experience with process modelling and BPM tools.
- Experience supporting or designing RPA and automation solutions.
- Strong analytical capability with experience using Excel, SQL, Jira and reporting tools.
- Experience in process re-engineering and continuous improvement.
- Ability to build business cases and conduct cost-benefit analysis.
- Strong planning, organisation and delivery management skills.
AI & Automation Skills
- Understanding of AI, Machine Learning, LLMs, VLMs and Agentic AI concepts.
- Ability to identify and quantify AI opportunities within business processes.
- Strong experience with conversational AI, copilots and intelligent automation platforms.
- Understanding of process mining and task mining concepts.
- Knowledge of Responsible AI principles, model limitations and governance practices.
- Awareness of AI-related data privacy, security and compliance considerations.
Personal & Professional
- Excellent written and verbal communication skills.
- Strong stakeholder management and relationship-building capability.
- Ability to manage multiple complex initiatives simultaneously.
- Innovative and pragmatic problem-solving mindset.
- Comfortable challenging assumptions and driving constructive change.
- Self-motivated individual with strong ownership and accountability.
Desirable Skills & Experience
- Experience within Asset Management, Wealth Management, Life & Pensions or Financial Services.
- Knowledge of UK collective investments and third-party administration models.
- Experience working within Agile delivery environments.
- Lean Six Sigma, ECBA, CBAP or equivalent qualifications.
- Experience with a variety of AI platforms.
- Exposure to process mining technologies.
- Experience supporting Agentic AI or AI-enabled transformation programmes.
- Exposure to development technologies such as SQL Server, C#, Java, VBA, HTML or CSS.
- Experience with Blue Prism, UiPath or equivalent automation technologies.
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
Applications will be accepted on an ongoing basis until the position is filled.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
