Risk Modeling Specialist
5 days ago
CTOS Data Systems seeks an experienced professional to develop and implement data-driven solutions. The ideal candidate will have a strong background in data analytics and risk modeling.
Responsibilities:
- Design and implement data-driven solutions to drive business growth.
- Develop and maintain complex data models using Data Analytics tools.
- Conduct thorough qualitative and quantitative analysis on various industry datasets.
- Ensure data quality meets expectations through benchmarking exercises.
- Collaborate with cross-functional teams to deliver high-quality results.
Requirements:
- Strong educational background in Statistics, Econometrics, Mathematics, Data Analytics, or related fields.
- Excellent written and spoken communication skills.
- Possess creativity and analytical thinking.
- A team player with a demonstrated ability to problem-solve effectively.
- Credit Risk Modeling and Validation experience.
- Credit Portfolio Reporting experience (desirable).
- Banking and Telco Domain experience (desirable).
- 3 to 5 years' experience in data analysis/risk analysis/scorecard/model developing environments.
- Data analytical skills, preferably in credit data.
- Skills in MS Office applications, particularly Word, Excel, and PowerPoint.
- Strong communication, interpersonal, and analytical skills with a meticulous approach.
- Ability to multi-task, work proactively, and thrive in a small team environment.
- Ability to perform well under pressure to achieve task objectives.
- Good oral and written English/Bahasa Malaysia (Optional).
- Possess excellent listening, rationalization, and problem-solving skills.
- Experience in data analytics programming tools, i.e., SAS, R, Python Scripting, Spark Scripting, Hive Knowledge.
- Experience in database tools, i.e., SQL, Hadoop, or any RDMS.
- Experience in BI Reporting tools, i.e., Pentaho, Tableau, Cognos.
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