Company Overview
Clearwater Analytics (NYSE: CWAN) is a leading provider of cloud-based investment portfolio accounting, reporting, and reconciliation solutions, serving institutional investors worldwide.
Each day, Clearwater aggregates, reconciles, and reports on over $6.4 trillion in assets across thousands of accounts. Our diverse client base includes corporate treasuries, insurance companies, investment managers, banks, governments, and other institutional investors across the United States and globally.
For more than a decade, we have combined cutting-edge web-based software with exceptional client service to help organizations such as American Family Insurance, Arch Capital, C.V. Starr & Co., Cisco, Facebook, Oracle, Selective Insurance, Sirius Group, Sompo International, Starbucks, WellCare Health Plans, and Wilton Re optimize their investment and accounting operations. Clearwater also collaborates with numerous custodians, investment managers, dealers/brokers, and electronic trading platforms, extending our capabilities to their clients.
With global headquarters in Boise, Idaho, and offices in Edinburgh, Frankfurt, London, New Delhi, New York, Paris, Seattle, Singapore, and Washington, D.C., Clearwater is setting the new global standard for investment portfolio reporting.
Responsibilities
- Research, design, and implement cutting-edge AI algorithms and models to enhance existing systems.
- Work closely with cross-functional teams to understand project requirements and contribute to the development of innovative AI-driven solutions.
- Analyze large datasets, extract valuable insights, and develop robust machine learning models.
- Optimize and fine-tune AI models to improve performance, scalability, and accuracy.
- Stay informed about the latest advancements in AI research and emerging technologies, integrating them into existing platforms.
- Collaborate with stakeholders to gather feedback, refine models, and continuously enhance AI capabilities.
Required Skills
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or a related field—or equivalent experience.
- Strong understanding of machine learning and deep learning techniques, with hands-on experience in AI models and APIs.
- Proficiency in programming languages such as Python, along with experience using frameworks like TensorFlow or PyTorch.
- Familiarity with cloud platforms and distributed computing environments.
- Excellent problem-solving abilities and experience working with complex datasets.
- Strong communication and collaboration skills, with the ability to work effectively within a team.
- Passion for AI research and a commitment to staying updated with the latest industry trends.
- Knowledge of FinTech—particularly investment accounting—is a plus
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