Lead AI / ML Solutions Engineer

What will you contribute?

Finastra’s Global Data Office is responsible for the strategy, governance, and enablement of data assets across 130+ countries globally to unlock innovation for our business units and 8000+ customers, including 90% of the world’s top banks. Reporting to the Global Head of Data Governance, this position will play a key role on the Enterprise Data Governance team, supporting the implementation and ongoing development of data governance initiatives across Finastra. It involves both business and technical responsibilities, with an emphasis on assisting in the development, configuration, and maintenance of Finastra’s enterprise data governance systems. The purpose is to maintain the security, accessibility, quality, usability, and integrity of critical data assets. The successful candidate will support the Global Data Office in advancing Finastra’s data governance strategies and solutions aimed at enhancing the technical infrastructure that underpins our governance framework. This team will help drive a global transformation Finastra’s data governance program, which will not only meet and exceed security, regulatory and compliance requirements, but also accelerate innovation in the development of data, analytic and AI products, unlocking new opportunities for monetization.

Responsibilities & Deliverables

• Design, develop, and deploy scalable machine learning models to solve complex business problems in the financial services domain.
• Collaborate with data scientists, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.
• Build and maintain ML pipelines for data preprocessing, model training, evaluation, and deployment using MLOps best practices.
• Conduct exploratory data analysis and feature engineering to improve model performance and interpretability.
• Monitor model performance in production and implement retraining strategies to ensure accuracy and relevance over time.
• Contribute to the development of AI-driven products and services, including fraud detection, credit scoring, customer segmentation, and predictive analytics.
• Ensure compliance with data privacy, security, and regulatory standards (e.G., GDPR, Fair Lending).
• Document model development processes, assumptions, and performance metrics for transparency and audit readiness.
• Stay current with advancements in AI / ML technologies and recommend innovative solutions to enhance business capabilities.

Required Skills & Experience

Qualifications

PhD is a plus.