Credit Risk Modelling Jobs

We are currently assisting an technology company that focus on Big Data, Analytics and Machine Learning, that is hiring for a Senior Data Analyst (Credit Risk Modelling) position.

The working system : Onsite - Work from Office [Located in Kebon Jeruk, West Jakarta]

:

• Designing, building, and maintaining data pipelines and workflows to support the data analytical activities.
• Applying data cleaning techniques to make it ready for manipulation and visualization.
• Collaborating with programmers and engineers to identify opportunities for process improvements.
• Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
• Identifying trends and patterns that could be valuable for diagnostic and predictive analytics.
• Demonstrating the significance of the produced reporting to senior management in the context of local, national, and global trends that impact both their organization and industry.
• Performing competitive market analysis.
• Recommend and develop policies for data governance.
• Data scraping across different online sources and repositories.
• Mining data from primary and secondary sources.
• Converting raw data into structured data by resolving the errors in the data, removing irrelevant data, and identifying the potential data.

Requirements :

• Mathematical and statistical skills to gather, measure, organize, interpret, and analyze data and data sets.
• Proficient in English both written and verbally.
• Knowledge of at least one data visualization software.
• Undergraduate degree or master’s degree in analytics, computer science, data modeling, or math.
• Knowledge of SQL, Python, and corresponding leading libraries for data analysis.
• Knowledge and experience in the fintech industry, ML, and/or AWS a plus.
• Understanding and ability to deal with big data.
• Ability to apply web scraping methods and techniques.
• Having understanding of the banking and finance sector.
• Data modeling as well as data pipe design and build capabilities.
• Capable of collecting quality data for analysis.
• Strong problem-solving capability.
• Strong knowledge of MS Excel and/or Google Sheets.
• Strong knowledge and understanding of the main algorithms and mathematical models and when to apply them to data analysis.

If you are interested please kindly send me your updated CV to my email [email protected].