Credit Risk Data Analyst | SQL, Python & Spark

Recruito; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Recruito is seeking an experienced analytics professional to develop and enhance credit risk scorecards and strategies. The role involves analyzing customer and transaction data to support risk decisions and to build features for automated analytics and reporting workflows.

You will clean, validate, and prepare large datasets, ensure data accuracy and compliance, and present insights to business and risk teams. Strong SQL and Python/PySpark skills are essential.

Qualifications

• Proven experience in analytics or credit risk analytics.
• Strong SQL skills and hands-on experience with Python/PySpark.
• Experience in data preprocessing, feature engineering, and automation.
• Good understanding of credit risk and statistical modelling.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Develop and improve credit risk scorecards and strategies.
• Analyze customer and transaction data to support risk decisions.
• Clean, validate, and prepare large datasets for analysis.
• Build features and automate analytics and reporting workflows.
• Ensure data accuracy, consistency, and compliance.
• Present analytical insights to business and risk teams.

Skills

SQL

Python

PySpark

Analytical thinking

Communication

Job description

Recruito is seeking an experienced analytics professional to develop and enhance credit risk scorecards and strategies. The role involves analyzing customer and transaction data to support risk decisions and to build features for automated analytics and reporting workflows.

You will clean, validate, and prepare large datasets, ensure data accuracy and compliance, and present insights to business and risk teams. Strong SQL and Python/PySpark skills are essential.