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Job description for Risk Data Analyst - SQL Python at TerraDua Recruiters
- A minimum of 4 years of relevant work experience in the Financial Services or Banking industry.
- Strong proficiency in English, both written and spoken, to articulate complex analyses with clarity.
- Demonstrated proficiency in SQL and Python, showcasing your ability to handle data with expertise.
- Collaborating with insurance organizations and coordinating with external audit processes related to Expected Credit Loss (ECL).
- Ensuring the integrity and accuracy of insurance data through meticulous sending and verification processes.
- Handling both routine and complex data processing tasks with a high level of precision.
- Collecting, cleansing, and preprocessing data from diverse sources to guarantee its accuracy and completeness for analysis.
- Utilizing advanced statistical methods and data visualization tools to analyze and interpret large datasets, with the aim of pinpointing potential risks and discerning notable trends.
- Diligently monitoring and tracking key risk indicators (KRIs) and key performance indicators (KPIs) to spot emerging risks and trends in a timely fashion.
- Crafting detailed reports and presentations that effectively communicate the findings of risk analyses to stakeholders across the organization.
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