Temenos is looking to solve the problem of transforming how banks operate and serve their customers through the use of cutting-edge AI/ML solutions, delivering responsible and high-impact models that align with their AI strategy.
Requirements
- Advanced degree (PhD or MSc) in Computer Science, Data Science, Statistics, or related field.
- Experience with AI governance, model explainability, and regulatory compliance.
- Familiarity with composable banking platforms and financial services data.
- Experience working in agile, cross-functional teams in a global, matrixed environment.
- Experience with cloud-native and on-prem systems.
- Knowledge of model monitoring, retraining, and lifecycle management.
- Familiarity with internal AI frameworks, tools, and reusable components.
Responsibilities
- Lead research and prototyping of novel AI techniques, including GenAI and LLMs, for banking use cases.
- Define and drive the AI/ML roadmap in alignment with product and business goals.
- Design, build, and deploy production-grade AI/ML models for banking, across retail, risk and compliance, payments, wealth.
- Collaborate with engineering and design to integrate models into scalable, cloud-native and on-prem systems.
- Establish best practices for model monitoring, retraining, and lifecycle management.
- Provide technical direction and mentorship to junior data scientists and engineers.
- Contribute to the development of internal AI frameworks, tools, and reusable components.
Other
- Collaborative, impact-driven leader who thrives in ambiguity and inspires teams to push the boundaries of what’s possible with AI in banking.
- Advanced degree (PhD or MSc) in Computer Science, Data Science, Statistics, or related field.
- Ability to communicate complex technical concepts to non-technical stakeholders with clarity and impact.
- Ability to work in agile, cross-functional teams in a global, matrixed environment.
- Commitment to working in agile, cross-functional teams.
