Emerging Technology

Job Purpose

The job holder plans, manages, and controls the activities of the team responsible for innovation and researching market trends in the context of emerging technologies. The team&aposs responsibility is to look beyond the current platform and identify new business opportunities leveraging emerging technologies

Key Accountabilities (1)

- Research market trends in the context of emerging technologies and partner up with external technology providers

- Execute PoCs to get hands-on experience on new technologies

- Write code, build Demos, and review code to make sure the team follows the architecture (not limited to just PowerPoint and Excel).

- Align with business stakeholders to identify business impact and opportunities

- Direct the team to gather functional requirements and specifications from current users to identify areas for improvement and/or integration for existing systems.

- Review and improve recommendations for scalable and modular solutions that will help address both current architectural constraints and future architectural improvements

- Owning the Innovation Forum/Backlog to manage internally suggested/captured innovation ideas.

- Build up a network of external partners who work as a catalyst for innovative ideas

Key Accountabilities (2)

- Ensure solutions are designed in line with Technology&aposs roadmap and strategic direction.

- Build, maintain, and enhance technology trends to explore features in a short time

- Be an innovation advocate

- Attract, motivate, and retain employees at all levels for high-performance results

- Conduct knowledge sharing sessions on new technology and market trends

Success Profile - Qualifications and Experiences

Qualifications

- A bachelor&aposs or master&aposs degree in computer science, software engineering, or information technology

Work Experience

- Minimum 7 years of experience in implementing state-of-the-art solutions in various industries

- Working experience in a similar role related to driving change and exploring/managing the usage of emerging technologies

- Experience and gained insights on the latest technology trends (e.g., AI/ML, IoT, RPA, Edge Computing, Blockchain, AR/VR)

Artificial Intelligence (AI) & Machine Learning (ML):

• Experience: Building and deploying ML models, understanding of various ML algorithms (supervised, unsupervised, deep learning).
• Frameworks: TensorFlow, PyTorch, Scikit-learn.
• Concepts: Natural Language Processing (NLP), Computer Vision, Generative AI (LLMs, agentic frameworks).
• Focus: Practical application of AI/ML for fraud detection, personalized banking, risk assessment, automation, etc.

Blockchain & Distributed Ledger Technology (DLT):

• Understanding: Core concepts of blockchain, smart contracts, Web3, and cryptocurrencies.
• Experience: Participation in blockchain projects (even personal ones), knowledge of platforms like Ethereum, Hyperledger (desirable).

Quantum Computing:

• Awareness: Basic understanding of quantum computing principles and potential applications in finance (e.g., optimization, cryptography). Look for coursework or research projects.

Edge Computing/IoT:

• Relevance: Depending on the bank&aposs specific use cases, experience with IoT platforms or edge computing might be valuable for real-time data processing.

Technical skills

Programming Languages:

• Strong Proficiency:Python (highly preferred for AI/ML, data science, automation), Java (enterprise systems), JavaScript/TypeScript (front-end, Node.js for backend)
• Exposure/Familiarity: Other relevant languages for niche emerging tech (blockchain, quantum, AI-related framework).

Cloud Platforms (AWS, Azure, GCP):

• Hands-on Experience: Demonstrable experience with cloud services (IaaS, PaaS, SaaS), serverless architectures, containerization (Docker, Kubernetes).
• Certifications: Cloud certifications are a strong plus.

Data & Analytics:

• Data Manipulation & Analysis: Experience with SQL, NoSQL databases (e.g., MongoDB, Cassandra), data warehousing (Redshift, Snowflake), and data pipelines.
• Big Data Technologies:Exposure to frameworks like Apache Spark, Hadoop (desirable).

DevOps & CI/CD:

• Familiarity/Experience:Understanding of CI/CD pipelines, automation tools (Terraform, Ansible), and infrastructure as code.

API Development & Integration:

• Experience: Designing, developing, and integrating RESTful APIs.

Language Proficiency

Proficient in business-level English (spoken and written)