Innovations Developer – AI/ML – ()
Description
Position Overview
We are seeking a passionate and talented Junior Innovations AI/ML Developer to join our Group Banking, Insurance & Invest teams. This role is crucial to the development and implementation of cutting-edge AI products that will transform banking operations and customer experiences. The successful candidate will work on designing and
constructing sophisticated machine learning models while improving and updating existing systems to drive innovation in financial services.
Key Responsibilities. AI/ML Development
Design, develop, and maintain AI/ML software solutions using cutting-edge technologies
Build and deploy machine learning models for banking applications including fraud detection, risk assessment, and customer analytics
Write clean, efficient, and maintainable code that adheres to industry best practices
Collaborate with data scientists to translate research prototypes into production-ready solutions
Implement and optimize algorithms for real-time decision-making systems
Innovation s Research
Stay current with latest AI/ML trends and technologies in the financial services sector
Contribute to the development of innovative banking products and services
Participate in proof-of-concept projects and pilot programs
Research and evaluate new AI/ML frameworks and tools for potential adoption
Support the creation of intellectual property through documentation and patent applications
- Integration
- Work closely with banking domain experts to understand business requirements
- Ensure AI/ML solutions comply with financial regulations and industry standards
- Integrate AI/ML capabilities into existing banking systems and workflows
- Support the implementation of automated compliance and risk management solutions
- Collaborate with cross-functional teams including product managers, engineers, and business analysts
- Data Management & Analysis
- Perform data cleaning, preprocessing, and feature engineering on large financial datasets
- Develop data pipelines for model training and inference
- Monitor model performance and implement continuous improvement processes
- Ensure data privacy and security standards are maintained throughout all processes
Qualifications
Educational Background
Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or related field
Fresh graduates with strong academic performance in AI/ML coursework are encouraged to apply
Relevant certifications in AI/ML or cloud platforms (AWS, Azure, Google Cloud) preferred
Technical Skills
Programming Languages: Proficiency in Python, R, SQL; familiarity with Java or C++ is a plus
Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit- learn, or similar
Data Technologies: Knowledge of pandas, NumPy, data visualization tools (matplotlib, seaborn)
- Cloud Platforms: Familiarity with cloud-based ML services (AWS SageMaker, Azure ML, Google AI Platform) Version Control: Experience with Git and collaborative development workflows Database Management: Understanding of both SQL and NoSQL databases
- Internship or project experience in fintech or banking sector
- Understanding of regulatory frameworks (Basel III, GDPR, PCI DSS)
- Experience with real-time data processing and streaming analytics
- Knowledge of blockchain and cryptocurrency technologies
- Key Competencies Analytical SkillsStrong problem-solving abilities and critical thinking Ability to work with complex datasets and extract meaningful insights Statistical analysis and hypothesis testing capabilities Attention to detail for model validation and testing
