SS&C Technologies is a leading financial services and healthcare technology company headquartered in Windsor, Connecticut. They are seeking a motivated student for a Quantitative Research Intern role where the intern will assist with quantitative portfolio management, AI best practices research, and engage with optimization software in wealth management.
Responsibilities
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
Qualification
Required
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
Preferred
Benefits
Interns are eligible to participate in SS&C's medical plan and Health Savings Account (HSA) but not entitled to participate in any other SS&C benefit plans (e.g. dental, vision, PTO, tuition reimbursement, 401K, holiday pay, etc.)
SS&C is a global provider of investment and financial software-enabled services and software focused exclusively on the global financial It is a sub-organization of SS&C Black Diamond Wealth Solutions.
