Design, develop, and maintain applications and systems, ensuring optimal performance and reliability of the bank’s technical infrastructure
Develop and implement advanced machine learning and deep learning models to automate and optimize business processes within the capital markets value chain
Utilize data science to generate actionable insights, build predictive models, and deploy robust solutions. Explore generative AI to enhance business operations, from data synthesis to process automation
Partner with quantitative analysts, traders, and business teams to develop and implement AI-driven solutions that address complex challenges
Drive the development of AI-powered products and features to improve the overall IS ecosystem
Requirements & Skills:
Bachelor’s degree in Computer Science or a related field
Minimum 10 years in IT functional architecture
Mastery of machine learning, deep learning, generative AI, and MLOps
Strong knowledge of data management practices, including data cleaning, preprocessing, and transformation
Expertise in AI algorithms, frameworks (TensorFlow, PyTorch, Scikit-learn), and cloud-based AI/LLM technologies (RAG patterns)
Proficiency in Python, .NET, or Java, as well as DevOps/MLOps/LLMOps tools (GitLab CI/CD, Kubernetes, AWS Cloud)
Knowledge of ethical principles for developing AI models
Ability to analyze complex problems and develop effective solutions
Strong interpersonal and communication skills to work effectively in teams
A curious mindset with a passion for learning and exploring new technologies
Ability to work independently and take ownership of projects
