Established in the year 2002, Siddhartha Bank Limited (SBL) is recognized as one of the most efficient and professional banks in Nepal. A core philosophy of the bank lies in nurturing relationships with customers and clients.

VACANCY NOTICE
 Siddhartha Bank Limited

1. Position: Artificial Intelligence (AI)/Machine Learning (ML) Engineer
- Job Code: SBL-ICT-004-81/82
- 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

2. Business Intelligence (BI) Analyst
- Job Code: SBL-ICT-005-81/82
- 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

Application Deadline : 18th June 2025

HOW TO APPLY
click [ HERE ] to view official vacancy notice for more details and application procedure.