As part of our flexible scheme, here are just some of the benefits that you ll enjoy
Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above
Your key responsibilities
You design and build high-quality software products that use AI and other advanced data-driven technologies to create sustainable value for the Bank.
You design and build intelligent agentic AI systems capable of autonomous decision-making, task execution, and interaction with various systems and users.
You are responsible for creating high-quality code and AI solutions
You actively participate in the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing maintenance.
You work in a cross-functional team using your technical expertise to identify, evaluate and execute data- and AI-driven innovation projects.
You contribute to identifying and evaluating applications of these technologies by providing your technical insight to your team and other stakeholders across the Bank.
You communicate technical concepts and results effectively to both technical and non-technical audiences.
Your skills and experience
University degree in a technical or quantitative field (e. g. , computer science, mathematics, physics, economics, etc. ).
4+ years of experience in applying AI, machine learning and/or data science in business and/or academia.
Experience building Generative AI solutions that leverage LLMs.
Demonstrated experience in building and deploying agentic AI solutions such as Google ADK, including knowledge of agent architectures, reasoning, and planning.
Strong knowledge of Python, as well as relevant data science or engineering frameworks (e. g. , scikit-learn, TensorFlow, Spark, LangChain etc. ).
Knowledge of GCP or another major cloud platform.
You live and breathe principles of good engineering and professional software development.
Comfortable working with and managing uncertainty, ambiguity. You should feel just as comfortable presenting the pros and cons of a new architecture to senior management as you are debugging a cryptic error message with your team.
Excellent oral and written communication skills in English.
Ideally, practical experience in finance and banking.
Nice-To-Have Skills:
Knowledge of MLOps principles and practices for deploying and managing AI models in production.
Familiarity with containerization technologies (Docker, Kubernetes)
Experience with Agile development methodologies.
Certified in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
How we ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Classification
Industry: BankingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time