Description
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 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
Graduate Business Analyst
Location: London (Ropemaker Street) | Full-time | Graduate Programme | Start date: September/October 2026
Department: Product Management (Business Analysis)
Are you analytical, curious and interested in how products and systems are designed and delivered? Do you enjoy translating ideas into practical solutions?
Join the SS&C Graduate Programme as a Graduate Business Analyst and work on real product and client delivery initiatives from day one. You'll support experienced Business Analysts and collaborate across product, technology and delivery teams.
You'll work within a live product team, building core business analysis skills and domain knowledge. Over time, you'll take ownership of analysis deliverables and contribute independently to delivery initiatives.
What you'll be doing
- Supporting analysis of business problems, user needs and existing processes
- Gathering and structuring information from different stakeholders and sources
- Elicit, analyse and document business requirements and user stories
- Support workshops and stakeholder discussions
- Assist with solution validation and support user acceptance testing (UAT)
- Maintain documentation and traceability
- Work with cross-functional teams on live delivery initiatives
- Contribute to process and product improvements
What we're looking for
Degree requirement (essential):
- 2:2 or above in Business Management, Finance, Economics, Computer Science, Information Systems, Data Analytics or a related discipline
- Graduated in 2025 or 2026
Essential skills:
- Evidence of structured analysis or problem-solving
- Strong communication skills
- Ability to document processes or requirements clearly
- Strong attention to detail and organisation
- Experience working with structured information or data
Desirable:
- Exposure to Jira or Confluence
- Awareness of APIs, UML, BPMN or Agile
- Basic knowledge of financial services
Working in a data and AI-driven organisation
At SS&C, we are increasingly leveraging data and artificial intelligence to enhance our products, services and decision-making. As a graduate, you'll be working in an environment where data is central to how we operate.
We're not expecting you to be an AI expert, but we are looking for individuals who:
- Are comfortable working with data to support decisions
- Show curiosity about how technology and AI are shaping financial services
- Are open to learning new tools, systems and ways of working
- Can think critically about how data can be used to improve outcomes
Your development and support
As part of our graduate programme, you'll benefit from a structured development experience designed to support both your professional and personal growth.
This includes:
- Access to our Rising Professionals Programme
- Opportunities to join our Aspiring Leaders Programme
- Ongoing mentoring and support
- Regular graduate networking events and gatherings
- Opportunities to grow your internal network
Important to know
- 37.5 hours per week (typically 9:00am – 5:30pm with flexibility)
- Based in London (Ropemaker Street)
- We are unable to offer visa sponsorship
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.
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