SGUnited Trainee, ALM Risk Analytics, Risk Management Group Permanent

SGUnited Traineeship Programme
The position reports to the head of ALM Risk Analytics with a focus of applying statistical and AI/ML techniques to data relating to bank’s assets and liabilities (loans and deposits) and finding insights into customers’ behaviour on such front.
Responsibilities:
1. Data handling and processing, inclusive of filtering outliers/anomalies as well as transformation of data for further downstream modelling;
2. Simple data analyses and building of statistical models;
3. Implementation of conceptual models into algorithms; and
4. Application of modelling output to risk management.
Requirements:
1. Degree in any relevant (quantitative) field.
2. Good written and oral communication skills.
3. Can program in R or Python a plus but not a must have.