Job Description
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 29,000+ employees in 40 countries. Some 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.
Get To Know Us:
SS&C is seeking a motivated student who is ready to apply knowledge to an authentic real-world experience. The intern will assist with a wide range of duties across Private Equity, Real Assets, and Hedge Fund administration. Our Black Diamond Investment Management tax-aware managed account service is growing quickly and requires quantitative talent to manage complex ultra-high net worth cases and to work on the continued development of automated solutions to scale the business.
Why You Will Love It Here
- Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans
- Wide Ranging Perspectives: Committed to Celebrating the variety of Backgrounds, Talents, and Experiences of our Employees
What You Will Get To Do:
- Quantitative Portfolio Management – Build adaptors for portfolio accounting data APIs to integrate and test tax-aware portfolio optimization APIs and enterprise portfolio management systems.
- AI Best Practices Research – As an engineering team we’re actively integrating Large Language Models (LLM) into our software development lifecycle. You will engage in this research process with us, hardening a list of best practices by the end of the internship.
- You’ll engage directly with cutting-edge open-source optimization software and its direct application to wealth management. You’ll be monitoring the fast-paced advancements in agent-assisted software development.
We are a small asset management team with aggressive research and product roadmaps. You’ll work directly with production-grade portfolio optimization software to expand its scale and application on actual client portfolios.
What You Will Bring:
- Intermediate knowledge of Python and/or C#
- Familiarity with portfolio optimization, asset allocation or other quantitative finance concepts
- Interest in scaling academic research into enterprise systems
- Working toward a BS or MS in Computer Science or related degree
- Minimum cumulative GPA of 3.0
- Proven ability to work as part of a team
- Ability to work in a fast-paced environment
- Strong organizational skills
- Analytical and problem-solving capabilities
We are not able to consider candidates who will eventually need sponsorship for continued work authorization in the United States.
We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.
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