Senior Data Scientist

About Alpheya

We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America’s oldest bank and first company to list on NYSE) and Lunate (a new $50B AUM alternative asset management firm based in Abu Dhabi, UAE). The company has raised $300M to build a state of the art wealth technology platform.

Our mission is to power and grow our clients’ Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.

While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.

This is an opportunity to be part of an exciting opportunity right from its inception, as we look to build our organization, design, and build the product and go-live with the first client in the next 12 months.

For more information, please visit www.alpheya.com

The Senior Data Scientist is responsible for the design and development of advanced generative, recommender and predictive models that will enhance the Alpheya platform's user experience. This role involves ensuring the performance and accuracy of our solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural language processing, predictive analytics and information retrieval), as well as promoting and implementing data science best practices. ​

• Thought partner to Head of AI and Product Manager at identify opportunities to unlock value in wealth management by leveraging distinctive AI expertise  (machine learning and generativeAI) to drive business solutions.​
• Lead the design, development, validation, and deployment of innovative, performant and scalable AI engines, applying rigorous testing to ensure alignment with business objectives​
• Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance​
• Apply A/B testing framework to test models' quality and integrate data insights into the business processes.​
• Coordinate with different functional teams to implement models, design processes and tools to monitor and analyze model performance and data quality​
• Drive the AI  methodology R&D agenda to ensure Alpheya continues to offer added value by best-in-class AI approaches in fast-moving landscape​
• Is the leader for the AI team's Data Scientists and Data Engineers (Transformation)

Requirements

• MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics or Mathematics or related technical discipline​
• 5+ years of deep applied expertise at developing and deploying complex AI/ML solutions preferably in a financial services context​
• Strong and deep knowledge of a broad set of AI methodologies: GenerativeAI, deep learning, natural language processing, supervised learning (classification, regression), reinforcement learning​
• Proficiency in Python is required together with multiple popular advanced analytics frameworks: pandas, spark, scikit-learn, langchain, llamaindex, tensorflow, pytorch​
• Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus​
• Strong applied understanding of MLOps / LLMOps best practice ​
• Experience to merge and transform disparate internal & external data sets together to create inputs for AI​