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

Product Owner- Operations

Locations: Boston, MA / Windsor, CT | Hybrid

Get To Know Us:

We are a fast-paced, dynamic team leading innovation in investment operations technology. Our mission is to develop, maintain, implement, and expand Singularity, our next-generation cloud-based AI-powered platform for investment managers and insurers. Singularity provides integrated accounting, operational processing, and advanced analytics for a broad range of asset types, leveraging machine learning, automation, and scalable architecture to drive efficiency and accuracy in investment operations.

Why You Will Love It Here!

• Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans
• Your Future: 401k Matching Program, Professional Development Reimbursement
• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
• Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
• Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees
• Training: Hands-On, Team-Customized, including SS&C University
• Extra Perks: Discounts on fitness clubs, travel and more!

What You Will Get To Do:

• Develop and execute operations product strategy, driving automation and reconciliation improvements within Singularity.
• Analyze market opportunities and assess industry direction to enhance machine learning capabilities and operational efficiency.
• Lead product design initiatives leveraging Azure DevOps, Confluence, Balsamiq and other tools to improve workflow and process automation.
• Partner with technical architecture, development, and data science teams to optimize machine learning models for reconciliation and operational workflows.
• Define and maintain the product backlog, ensuring alignment with business goals and industry trends.
• Collaborate with cross-functional teams to ensure seamless integration of operational automation tools into the investment accounting platform.
• Provide thought leadership in reconciliation strategies, leveraging machine learning-driven solutions and automation technologies to enhance efficiency.
• Influence operational design to drive continuous process improvements and enhanced user experience.

What You Will Bring:

• Deep understanding of investment operation, reconciliations, and automation strategies.
• Experience with machine learning applications in financial operations.
• Strong proficiency in Azure DevOps, Confluence, Balsamiq and other similar product design tools.
• Knowledge of core investment processing workflows related to market traded securities classes including, but not limited to Asset Backed, Fixed Income, Equities, Futures and Privates.
• Experience improving operational efficiency through technology solutions.
• Demonstrated ability to lead product teams and collaborate with technology and business stakeholders.
• Strong analytical and strategic thinking skills, with a data-driven approach to decision-making.
• Minimally requires a Bachelor’s degree and 6 years of related experience or Master’s degree and 4 years of related experience.

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website: www.ssctech.com/careers.

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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.

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.