Banking Fintech Risk Data Analyst - SQL Python

About 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 fastgrowing 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 detailoriented and analytical Risk Management Analyst to enhance our teams capabilities in managing and mitigating risk through datadriven 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.

Analysis,Risk,SQL,Python