Data Scientist

This position is primarily responsible for the development, validation, implementation, maintenance, and redevelopment of relevant scorecards and models across the Mass Retail Segment covering the products, credit cards, personal loans, debit, and microfinance loans. The functional objectives are achieved by turning raw data into valuable insights and later into models needed by the business in order to grow, manage risk, and compete.

Responsibilities

• Development of various scorecards/models for the Segment, including but not limited to, credit application, behavior, revenue, propensity, collections, and remedial/recovery scorecards.
• Assess and dimension the data quality using exploratory data analysis to ensure a robust database for modeling.
• Explore and adopt strategic models using traditional and alternative methods utilizing both internal and external data to support the bank’s strategic thrust.
• Performs advanced qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design, and implementation.
• Ensure model development and subsequent changes have comprehensive documentation in terms of the design and key decisions.
• Identifies risks associated with developed models using the monitoring reports to confirm that models remain appropriate for a given portfolio.
• Evaluate model performance regularly and set tools or benchmark to trigger model revisions or retirement.
• Roll-out of models ensuring implementation plans have rigorous pre-implementation testing procedures and comprehensive user acceptance testing to make certain accuracy and smooth implementation.
• Maintain a high level of coordination with all departments/stakeholders to ensure that any impact of the model strategies, changes in product configuration, pricing, etc. which may affect default rates, acceptance rates, or customers in any other way are managed properly by those respective departments.
• Coordinate with the bank’s Risk Management Office to secure the prescribed approvals for model implementation and compliance to the model risk framework and governance.
• Advocate towards user understanding and acceptance of models and associate analytics, including written and verbal presentations to model users, stakeholders, managers, and oversight groups.
• Collaborate with Unibank data scientists from different areas of the bank for enterprise-wide projects.
  
  

Qualifications

• Bachelor’s Degree in Statistics, Mathematics, Economics, Data Science, or Engineering
• At least 3 years experience in Data Management, Data Engineering, Risk Modeling/Data Science, Credit risk management, Collections, Fraud, Data science/analytics or related disciplines in a consumer lending industry
• Proficient in data/analytical tools, e.g., SAS, Python, VBA, Tableau, etc. and any credit, collections or fraud systems
• Analytical and good problem-solving skills
• Excellent written and oral communication skills with distinct ability to convey complex data in a concise understandable manner

This position is primarily responsible for the development, validation, implementation, maintenance, and redevelopment of relevant scorecards and models across the Mass Retail Segment covering the products, credit cards, personal loans, debit, and microfinance loans. The functional objectives are achieved by turning raw data into valuable insights and later into models needed by the business in order to grow, manage risk, and compete.

Responsibilities

• Development of various scorecards/models for the Segment, including but not limited to, credit application, behavior, revenue, propensity, collections, and remedial/recovery scorecards.
• Assess and dimension the data quality using exploratory data analysis to ensure a robust database for modeling.
• Explore and adopt strategic models using traditional and alternative methods utilizing both internal and external data to support the bank’s strategic thrust.
• Performs advanced qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design, and implementation.
• Ensure model development and subsequent changes have comprehensive documentation in terms of the design and key decisions.
• Identifies risks associated with developed models using the monitoring reports to confirm that models remain appropriate for a given portfolio.
• Evaluate model performance regularly and set tools or benchmark to trigger model revisions or retirement.
• Roll-out of models ensuring implementation plans have rigorous pre-implementation testing procedures and comprehensive user acceptance testing to make certain accuracy and smooth implementation.
• Maintain a high level of coordination with all departments/stakeholders to ensure that any impact of the model strategies, changes in product configuration, pricing, etc. which may affect default rates, acceptance rates, or customers in any other way are managed properly by those respective departments.
• Coordinate with the bank’s Risk Management Office to secure the prescribed approvals for model implementation and compliance to the model risk framework and governance.
• Advocate towards user understanding and acceptance of models and associate analytics, including written and verbal presentations to model users, stakeholders, managers, and oversight groups.
• Collaborate with Unibank data scientists from different areas of the bank for enterprise-wide projects.
  
  

Qualifications

• Bachelor’s Degree in Statistics, Mathematics, Economics, Data Science, or Engineering
• At least 3 years experience in Data Management, Data Engineering, Risk Modeling/Data Science, Credit risk management, Collections, Fraud, Data science/analytics or related disciplines in a consumer lending industry
• Proficient in data/analytical tools, e.g., SAS, Python, VBA, Tableau, etc. and any credit, collections or fraud systems
• Analytical and good problem-solving skills
• Excellent written and oral communication skills with distinct ability to convey complex data in a concise understandable manner