Lead the analysis of large and complex datasets to extract valuable insights, trends and patterns that inform business strategy and decision-making.
Design, develop and maintain dashboards, reports, and KPIs to effectively communicate key metrics and performance indicators to stakeholders.
Build, train, and optimize machine learning and statistical models aligned with the Bank’s objectives.
Develop AI-driven banking solutions for personalized banking including AI agents, recommendation systems, and digital advisory tools.
Implement and deploy Natural Language Processing (NLP) models as per business requirements.
Conduct predictive analytics and time-series forecasting to forecast business outcomes, identify opportunities, and mitigate risks.
Apply anomaly detection techniques to identify irregularities in business and operational data.
Design and manage ETL pipelines for structured and unstructured data, ensuring high data quality and integrity.
Work with big data platforms (e.g. PySpark, Hadoop, Apache Spark, Databricks) for analyzing large-scale customer behavior, churn, and transaction data.
Continuously monitor and validate model performance ensuring regulatory compliance.
Collaborate with cross-functional teams to gather requirements, define analytical priorities, and translate business needs into technical solutions.
Provide support and guidance to junior members of the data analytics and business intelligence team.
Job Specification
Required Skills and Competencies:
Strong proficiency in data wrangling, normalization, predictive analytics, and anomaly detection.
Effective communication and presentation skills to collaborate with cross-functional teams, including business users and operational teams. Essential to convey complex technical concepts and insights to non-technical stakeholders effectively.
Strong leadership and team management abilities with a willingness to lead, create ideas, and be assertive.
Excellent analytical, problem-solving, and critical thinking skills.
Proven ability to work effectively in a fast-paced, dynamic environment with multiple priorities and deadlines.
Prior experience of Banking, familiarity with banking processes, risk management, and regulatory compliance will be an added advantage.
Knowledge of cloud-based data platforms and big data technologies will be considered a plus.
This Job is expired. The Company is no longer accepting applications for this position.
Organization Summary
Machhapuchchhre Bank Limited registered in 1998 as the first regional commercial bank from the western region of Nepal started its banking operations from its own head office located in the foothills of Machhapuchchhre Mountain peak in the picturesque town of Pokhara since year 2000. The Bank facilitates its customer needs by delivering the best of services in combination with the latest state of the art technologies and prudent international practices. The Bank is the pioneer in introducing the latest technology in the banking industry in the country. It was the first bank to introduce centralized banking software, GLOBUS BANKING SYSTEM of Temenos NV, Switzerland. Currently, it is using the latest version of GLOBUS referred to as T-24 BANKING SYSTEM. The bank provides modern banking facilities such as Any Branch Banking, Internet Banking, Mobile (SMS) Banking, Safe Deposit Locker facilities, Utility Bill payment (Telephone & Mobile), ATM (VISA Debit Cards and Debit card associated with SCT Network ) to its valued customers. Besides these, the Bank is providing 365 Days banking and Evening Counter services to the customers through many of its offices. The Bank had been promoted by individuals and companies with local roots but from different walks of life with a vision and dedication to provide the best financial products and services in the most efficient and professional manner.
