Risk Data Analyst - Financial Services

Lentera Inspirasi Pembiayaan (LIP), an entity of Flip, is building the fairest and most customer centric multi-finance platform in Indonesia.

We are seeking an experienced Risk Data Analyst that will support the risk department by structuring and organizing data, designing efficient reporting frameworks, and enabling streamlined data management processes. This role is critical for providing accurate, timely, and actionable insights to the risk team and ensuring data integrity across all reports and analyses. The ideal candidate will have a strong background in data structure, reporting automation, and analytics within a financial or multi-finance environment.

About Flip
Rafi, Luqman, and Anjar, who were college friends in Universitas Indonesia, started Flip as a project in 2015 to transfer payments to each other at a fraction of what banks would charge them. They are pioneers in the Indonesian market, with their technology now helping millions of Indonesians, both individuals and businesses, carry out bank-to-bank money transfers through a reliable and seamless app.

After seven years of operations, Flip has helped Indonesians transfer money worth several trillions of rupiah and has received double-digit funding from respectable investors such as Sequoia India, Insight Partner, and Insignia. Flip’s ultimate mission is to give Indonesians access to one of the most progressive and fairest financial services in the world.

At Flip, we always strive to provide the fairest place for you to work, learn, and grow with talented and fun people in various opportunities to advance your career and get fair rewards. We believe that we have to treat employees, customers, and all stakeholders fairly and respectfully. Fair treatment for employees means we establish clear goals, facilitate our employees to achieve them, and value their contribution to the company with equitable benefits.

Key Responsibilities:
Data Structure and Management:

• Develop and maintain the data architecture required to support risk reporting needs, ensuring accuracy, consistency, and compliance with regulatory standards.
• Organize and structure large datasets to facilitate efficient retrieval and analysis, ensuring data integrity and quality at all times.
• Implement and enforce best practices for data governance, including data security, access control, and regular data audits within the risk department.

Risk Reporting and Dashboard Development:

• Design and implement a suite of reports and dashboards that provide clear visibility into key risk metrics, such as delinquency rates, exposure levels, and collections performance.
• Standardize and automate routine reporting processes to improve efficiency, reduce manual workload, and support real-time monitoring where possible.
• Produce ad-hoc reports for specific risk inquiries, ensuring timely delivery and relevance to ongoing risk initiatives.

Process Improvement and Reporting Automation:

• Lead the automation of data extraction, transformation, and loading (ETL) processes to streamline data management and reporting workflows.
• Collaborate with IT and data engineering teams to deploy advanced data visualization tools and platforms, enabling more sophisticated analytics and reporting capabilities within the risk department.
• Continuously evaluate and enhance reporting processes to ensure they meet evolving business needs, improve accuracy, and reduce operational risk.

Collaboration and Stakeholder Engagement:

• Work closely with cross-functional teams, including product, finance, and operations, to align on key risk metrics, gather reporting requirements, and validate data sources.
• Prepare and present insights to the risk department and senior management, ensuring clarity, relevance, and alignment with business objectives.
• Assist in training team members on reporting tools and data management practices to support a culture of data-driven decision-making within the risk function.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Information Systems, Business Analytics, or a related field.
• 3+ years of experience in data analysis, data management, and reporting, preferably within the financial services or multi-finance industry.
• Proficiency in SQL and other data manipulation languages; experience with data visualization tools (e.g., Power BI, Tableau) is a plus.
• Strong attention to detail with a commitment to data accuracy and quality.
• Excellent problem-solving skills and the ability to manage multiple priorities in a fast-paced environment.
• Strong communication skills for effectively presenting findings to technical and non-technical stakeholders.