Data Scientist (Financial Services)

Roles and responsibilities

• Processing, cleansing, and validating the integrity of data to be used for analysis

• Data mining or extracting usable data from valuable data sources

• Analyzing large amounts of information to find patterns and business solutions

• Using statistical tools to develop prediction model to address business needs

• Carrying out preprocessing of structured and unstructured data

• Enhancing data collection procedures to include all relevant information for developing business analytic

• Presenting results in a clear manner

• Propose solutions and strategies to tackle business challenges

• Able to conduct and lead training/meeting session to explain concept to clients

• Able to coach and lead small team to achieve assigned tasks

• Able to perform multi-project, and possess time management to meet tight deadline

• Able to generate report and presentation to supervisor/clients

• Able to build and maintain good relationship with clients

• Collaborate with Business and IT teams

• Project management, planning, conception, and implementation of a suitable related treasury and risk management system.

• Any other related and ad-hoc assignment as assigned
  
  

Qualifications

• Master’s in Engineering, Data Science, Mathematics, Statistic, Finance.

• Experience in Data Science, Statistic, Mathematic fields will be a plus

• Ability to multi-task, work under pressure, and meet tight deadline

• Programming experience in PYTHON, R, PowerBI, Tableau and database query languages like SQL is an advantage.

• Strong PowerPoint skills

• Strong communication and presentation capability

• Good command of both written and spoken English