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

Role Overview

SS&C is seeking a Machine Learning Engineer to join its Innovation team, driving the exploration and application of advanced AI and ML technologies across our financial services product landscape. This role will focus on designing, building, and deploying intelligent systems that solve real-world problems across domains like Funds, Wealth, and Life & Pensions.

As part of the Innovation function, you will work closely with product managers, data scientists, software engineers, and business stakeholders to develop machine learning models, integrate them into scalable systems, and contribute to the evolution of SS&C’s next-generation product offerings.

Key Responsibilities

• Develop and deploy machine learning models and pipelines to support new product features or internal efficiency tools.
• Collaborate with data scientists to translate prototypes into production-ready systems.
• Work with engineering teams to integrate ML components into microservice-based architectures.
• Optimize model performance, retraining strategies, and monitoring in production.
• Support research into emerging AI/ML methods, including NLP, generative AI, and time-series forecasting.
• Ensure models are robust, explainable, and compliant with industry and regulatory standards.
• Maintain documentation and contribute to knowledge sharing within the innovation and engineering community.

Required Skills & Experience

• Proficiency in Python and popular ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of software engineering principles, APIs, and containerization (e.g., Docker, Kubernetes).
• Experience deploying ML models into production environments using MLOps tools and practices.
• Strong problem-solving skills and a collaborative mindset.
• Experience working with structured and unstructured financial datasets is a plus.

Preferred Qualifications

• Degree in Computer Science, Engineering, Data Science, or related field.
• Experience in financial services, particularly asset management, funds, or wealth technology.
• Exposure to cloud platforms (e.g., AWS SageMaker, Azure ML).
• Familiarity with regulatory considerations around AI (e.g., explainability, fairness, GDPR).

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.