Risk Data Analyst

Academic training: University Degree in Statistics, Mathematics, Economics, Data Science, Engineering, or a related field.

Previous experience: Professional experience in analytical positions, preferably within banking entities, financial institutions, risk consultancies, or the Fintech sector.

Technical skills:

Proficiency in database management and extraction using SQL.

Handling of programming languages or analysis software such as Python, R, or SAS.

Knowledge of data visualization tools (Power BI, Tableau, or similar) and an advanced level of Excel.

Key skills: Great analytical capacity, attention to detail, problem orientation, and technical communication skills.

Are you looking to take a qualitative leap in your career within the analytical and financial sector? At Randstad, we are selecting a Risk Data Analyst to join a major and consolidated entity specializing in financial services, consumer credit, and payment methods, belonging to one of the most relevant banking groups in the country.

We are looking for an analytical, rigorous profile with a business vision who wants to be part of a dynamic, collaborative environment in constant technological innovation.

In your day-to-day as a Risk Data Analyst, you will be part of the strategic risk management area, assuming the following responsibilities:

Advanced data analysis: Extraction, cleaning, and modeling of data for the continuous evaluation of credit risk and customer behavior.

Monitoring and reporting: Creation, development, and maintenance of interactive dashboards and strategic control panels for senior management.

Optimization of risk policies: Identification of behavior patterns, default trends, and deviations to propose improvements in decision-making.

Multidisciplinary collaboration: Close work with Business, Technology, and Compliance units to align risk policies with the company's commercial objectives.