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This graduate programme develops skills in risk management, operational resilience, and business continuity within a global financial technology company. You'll analyse risk data, support risk assessments, business continuity planning, disaster recovery, and resilience testing while helping the business identify and manage operational risks.
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.
Are you a natural problem-solver with a strong eye for detail? Do you enjoy analysing data and understanding how organisations prepare for and respond to risk?
Join SS&C as a Graduate Risk and Resilience Analyst, where you’ll support how we identify, assess and manage risk across the business. You’ll gain hands-on experience working with risk data, supporting business continuity planning and contributing to operational resilience across multiple regions.
What you’ll be doing
You’ll begin by supporting core risk and resilience activities such as reporting and data analysis. Over time, you’ll take ownership of key deliverables, build stakeholder relationships, and develop into a specialist in risk and business continuity.
Other duties include:
Support Risk and Control Self-Assessments (RCSA) and identify emerging risks
Assist in mapping critical business services across people, technology, premises and third parties
Contribute to scenario testing, including “severe but plausible” disruption events
Analyse risk data and produce reports, dashboards and presentations
Track risk controls and monitor mitigation activities
Support business continuity and disaster recovery planning
What we’re looking for
Degree requirement (essential):
2:2 or above in Risk Management, Business, Finance, Economics, Data Analytics, Mathematics, Statistics or a related discipline
Essential skills:
Evidence of data analysis (e.g. coursework, projects, reporting)
Intermediate Excel skills (e.g. formulas, pivot tables, data manipulation)
Strong written communication skills
Excellent attention to detail
Ability to interpret and present data findings
Desirable:
Awareness of risk, audit, compliance or business continuity
Experience creating presentations or dashboards
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, focused on building core skills
Opportunities to join our Aspiring Leaders Programme as you progress
Ongoing mentoring and support from experienced colleagues
Regular graduate networking events and gatherings
Opportunities to build strong internal networks and collaborate across teams
How to apply
Apply directly through the company website. Clicking the link below will open the application page in a new window.

Location: Windsor, USA
Industry: Financial Services
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.
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