Join Our Team

Position: Artificial Intelligence (AI)/Machine Learning (ML) Engineer

Level: Junior Officer/Officer/Senior Officer Level

Required No.: Five (5)

Location: Kathmandu, Nepal

Department: Digital Enabler

 

MINIMUM QUALIFICATION AND REQUIREMENTS:

Senior Officer Level

Bachelor’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 4 years of relevant work experience

OR

Master’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 3 years of relevant work experience

 

Officer Level

Bachelor’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 3 years of relevant work experience

OR

Master’s Degree in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 2 years of relevant work experience

 

Junior Officer Level

Bachelor’s Degree with minimum 50% marks or CGPA 2.5 in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 2.5 years of relevant work experience

OR

Master’s Degree with minimum 50% marks or CGPA 2.5 in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 1.5 years of relevant work experience

 

AGE LIMIT

For Officer and Senior Officer Level:

Male: Minimum 21 Years of age not exceeding 40 years as on application deadline

Female: Minimum 21 Years of age not exceeding 45 years as on application deadline

 

For Junior Officer Level:

Male: Minimum 21 Years of age not exceeding 35 years as on application deadline

Female: Minimum 21 Years of age not exceeding 40 years as on application deadline

JOB PROFILE:

• Design, develop and optimize machine learning algorithms and AI Models to enhance predictive capabilities for credit risk, fraud detection and operational efficiency.
• Interpret and translate business requirements from banking functions into data-driven, machine learning solutions.
• Execute full-cycle data workflows including acquisition, cleansing, transformation, and exploratory analysis to prepare structured datasets for modeling.
• Develop, train, and validate machine-learning models using techniques such as regression, classification, clustering, time series forecasting, and natural language processing.
• Evaluate model performance using statistical and technical metrics and implement iterative improvements for enhanced accuracy, scalability, and business relevance.
• Design and maintain robust MLOps pipelines, ensuring reliable model deployment, version control, performance monitoring, and retraining capabilities.
• Document all modeling procedures, including data sources, assumptions, validation approaches, and ethical considerations to ensure auditability and compliance.
• Collaborate closely with software developers, IT infrastructure units, and business process owners to ensure seamless integration and adoption of AI/ML systems.
• Monitor the evolution of AI/ML tools, frameworks, ethical guidelines, and best practices, and assess their applicability to the Bank’s operations.
• Design, build, train, and deploy machine learning models and AI solutions.
• Analyze large datasets to derive actionable insights and build predictive models
• Stay up-to-date with the latest AI/ML research, tools, and technologies.

 

REQUIRED JOB KNOWLEDGE/EXPERTISE:

• Proficiency in Python and machine learning libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, Pandas, and NumPy
• Familiarity with big data processing platforms like Apache Spark, PySpark.
• Proficient in AI framework – LangChain
• Strong Understanding of Retrieval Augmented Generation (RAG) architecture.
• Strong Knowledge of vector database
• Knowledge on types of AI based on modern advancements
• Hands-on experience with MLOps tools, CI/CD pipelines, and version control systems (Git)
• Sound understanding of AI/ML governance, responsible AI, and data privacy regulations applicable in the Banking sector

 

The Bank reserves the right to reject any/all applications without assigning any reason whatsoever. Only shortlisted candidates shall be called for the further selection process.

Canvassing at any stage of the processes shall lead to disqualification of the candidate for this vacancy. Application received from any other medium other than Bank's website shall be disqualified. No Telephone queries will be entertained for this purpose.

 

Position: Business Intelligence (BI) Analyst

Level: Assistant/Senior Assistant

Required No.: Three (3)

Location: Kathmandu, Nepal

Department: Digital Enabler

 

MINIMUM QUALIFICATION AND REQUIREMENTS:

For Senior Assistant Level:

Bachelor’s Degree with minimum 50% marks or CGPA 2.5 in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 2 years of relevant work experience

For Assistant Level:

Bachelor’s Degree with minimum 50% marks or CGPA 2.5 in the field of Computer Science/ Information Technology/ Computer Engineering/ Data Science with at least 1.5 years of relevant work experience

AGE LIMIT

For Senior Assistant Level:

Male: Minimum 20 Years of age not exceeding 35 years as on application deadline

Female: Minimum 20 Years of age not exceeding 40 years as on application deadline

For Assistant Level:

Male: Minimum 20 Years of age not exceeding 32 years as on application deadline

Female: Minimum 20 Years of age not exceeding 37 years as on application deadline

JOB PROFILE:

• Responsible for gathering the Banking business requirement from Bank’s stakeholders to build new data models and dashboards with data visualizations
• Build and support data transformations, data structures and dependencies, and data models
• Reconcile data anomalies to maintain a cleaner reporting infrastructure
• Manage the BI tool reporting environment and infrastructure by solving problems and tuning performance for underlying systems and processes
• Develop a detailed understanding of related business processes, strategies, and goals to provide reporting management of multiple tasks and projects efficiently, and clearly communicate progress & status with bank’s stakeholders
• Responsible for enabling the business with the right information, tools, and technologies to gain valuable insights and make data-driven decisions
• Collaborate with Enterprise Project Management Office (EPMO) on new initiatives for channel
• Remain updated on BI architecture, configuration and various system components of BI & DA Analytics platform including Bank digital applications, interfaces & dataflow
• Maintain confidentiality of Bank customer’s data
• Adhere to all regulatory requirements of the Bank
• Execution of any other assignments as advised by Senior Executives or immediate supervisor

REQUIRED JOB KNOWLEDGE AND EXPERTISE:

• Professional experience in retail/consumer banking applications as analyst, developer, architect, engineer, or DBA role working with large data sets and using SQL
• Experience with cloud/hybrid based BI platforms and data warehouses
• Experience with Visualization Tool – Power BI, Tableau etc.
• Strong Understanding of data warehouse architecture
• Familiarity with ETL Tools - SSIS
• Strong SQL skills and experience in building data models that serve as the source of truth for reports, dashboards, and data visualizations
• Ability to explain complex information and concepts to technical and non-technical audiences
• Capacity for troubleshooting issues and implementing solutions, specifically related to SQL code
• Enjoy supporting team members and helping solve problems that arise
• Familiarity with documenting data definitions and code
• Driven by a fast-paced, energetic, results-oriented environment
• Strong interpersonal & communication skills (verbal + written) with handling information confidentially and within compliance
• Good knowledge of Office 365 tools and able to present as per need

 

The Bank reserves the right to reject any/all applications without assigning any reason whatsoever. Only shortlisted candidates shall be called for the further selection process.

Canvassing at any stage of the processes shall lead to disqualification of the candidate for this vacancy. Application received from any other medium other than Bank's website shall be disqualified. No Telephone queries will be entertained for this purpose.