AlamatAbout the Company: Our client is a leading banking and digital finance platform in Southeast Asia that operates in 4 major countries: Indonesia, Philippines, Vietnam and Malaysia. Targeting an emerging market with an underserved but creditworthy and fast-growing consumer group, This Company currently provides users with digital banking, consumer credit, digital investment and insurance brokerage services, fulfilling financial needs for a wide range of customers. Just now, This Company has raised a total of $438.1M in funding over 10 rounds. Their latest funding was raised on Feb 15, 2022 from a Series E round. Are you an experienced professional with a knack for risk analysis in the financial services industry? Our Comprehensive Risk division is looking for a detail-oriented and analytical Risk Management Analyst to enhance our team's capabilities in managing and mitigating risk through data-driven insights. Job Description: * 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.
Requirements: * 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.
