Manager, Data Scientist

Research and develop new ways to improve how bank conduct analysis and derive predictive modeling by sourcing / institutionalize non traditional data, introducing new techniques / algorithm, etc. in the area of credit decision. Introduce process automation to improve TAT and time spent within the Credit Policy & Scoring team.

• Source for alternative / non traditional data to enrich the data input for credit analytics and predictive modeling.
• Institutionalize identified alternative / non traditional data into data warehouse to enable access by relevant parties in the bank.
• Revamp and introduce process automation into existing analytics and predictive modeling methodology in order to improve TAT and time spent.
• Setup the necessary infrastructure together with GIS to enable process automation to take place.
• Introduce new technology into the bank with the objective to improve the efficiency of credit office.