• Design, develop, and maintain our data infrastructure, including data pipelines, databases, data warehouses, and data lakes, with a specific focus on financial services applications.
• Collaborate closely with data scientists, financial analysts, and other stakeholders to gather and analyze data requirements for AI projects, ensuring the availability, quality, and relevance of financial data.
• Implement scalable and efficient data processing and integration solutions to support AI model development and deployment, specifically tailored for financial services use cases.
• Build and optimize AI data models, ensuring data integrity, accuracy, and compliance with regulatory requirements and financial industry standards.
• Work closely with cross-functional teams to identify and integrate external financial data sources, such as market data feeds, transaction data, and economic indicators, for training and enhancing AI models.
• Implement data governance practices and adhere to data security and privacy regulations, particularly within the financial services context.
• Troubleshoot and resolve AI data-related issues, such as performance bottlenecks, data quality problems, and model performance discrepancies, with a strong focus on financial domain challenges.
• Monitor and maintain AI data systems to ensure their availability, reliability, and performance, and proactively implement necessary optimizations and improvements.
• Stay up to date with the latest trends and advancements in AI, machine learning, and financial technologies, and apply them to continuously improve our AI data infrastructure and processes.

Employment Type: Contract

• This is a hybrid position.
• The ideal candidate will have a self-starter attitude with high ownership, self-motivation, and accountability.