Oxane Partners
Website:
oxanepartners.com
Job details:
About Us
Oxane Partners is a technology-driven solutions provider to the private credit markets. Our solutions transform the way investment firms and banks analyze and manage their investments. We unify our technology with deep domain expertise to provide compelling and relevant solutions across all asset classes. Our collaborative engagement approach helps our clients evaluate more opportunities faster and better manage their existing investments while still maintaining the rigor of their investment process. Our solutions manage over $800 billion of notional for 100+ clients including 20 of the top 30 global investment banks, 10 of the top 15 global private credit investment firms, 5 of the top 10 global private equity firms, and 10 of the top 25 alternative asset managers. Founded in 2014 by former credit traders from Deutsche Bank, Oxane Partners has grown to a team of 600+ highly skilled financial analysts and technology experts. Oxane Partners is headquartered in London and has additional offices in New York, Gurgaon, and Hyderabad.
- Define and own the AI solution architecture for complex projects, ensuring scalability, security, and performance.
- Collaborate with core engineering teams to integrate AI models into existing systems and workflows.
- Evaluate and recommend appropriate AI frameworks, tools, and technologies for enterprise-grade deployments.
- Establish best practices for model lifecycle management, including training, deployment, monitoring, and retraining.
- Drive technical reviews, proof-of-concepts, and architecture validation for AI initiatives.
- Mentor engineering teams on AI architecture principles and emerging technologies
Requirements
- Proven experience in AI/ML architecture and system design for large-scale applications.
- Relevant minimum work experience of 5 years.
- Strong knowledge of Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP).
- Knowledge of AzureOpenAI and Microsoft Foundry is preferred.
- Expertise in data engineering, distributed systems, and API integration.
- Ability to translate business requirements into technical solutions.
- Excellent communication and leadership skills to influence technical decisions
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