The Job

As a Risk Data Analyst, you will be responsible for utilizing data analysis to identify and evaluate potential risks/fraud on the platform. You will use your expertise in statistics, data analysis, and programming to develop and maintain risk models/flags and dashboards. In this role, you will work closely with cross-functional teams to understand business needs and develop data-driven solutions to identify, mitigate, and monitor risk & fraud. You do this by:

• Analysis of  large datasets to identify patterns and trends.
• Collaborating with cross-functional teams to understand business needs and develop data-driven solutions.
• Managing data from other sources, some of which cannot be captured on our platform.
• Communicating findings and recommendations to non-technical stakeholders.
• Continuously monitoring and updating risk models/flags to ensure they remain accurate and relevant.
• Creating visualizations and reports to effectively communicate results.
• Keeping up-to-date with new developments in data science and risk management to continuously improve processes and methodologies.

About you

You think logically and come up with practical solutions in order to solve issues.  You have an eye for the smaller details, and ensure that tasks are followed up in a timely manner. You’re a problem solver and can work well independently.

Requirements

• Bachelor’s degree in a related field (e.g. statistics, mathematics, computer science).
• A minimum of 2-3 years of professional experience in a data analytics role.
• Proficient in data visualization and reporting using Tableau (mandatory) and other tools.
• Experience with R (or Python) programming language and relevant packages is desirable.
• Familiarity with machine learning and predictive modeling.
• Strong communication skills to clearly present findings and recommendations to non-technical stakeholders.
• Strong problem-solving skills and ability to think critically.