Risk Analyst – Data Science & Analytics

📋 Description

• Analyze large and complex bureau and financial services datasets to uncover insights, identify
• Translate business challenges and product ideas into structured analytical solutions, including
• Develop, validate, and benchmark statistical and machine learning models, scores, segmentations
• Build scalable and reusable analytical assets, including efficient Python/SQL code, automated
• Collaborate closely with Product, Technology, and business teams to define analytical requirements
• Clearly communicate methodologies, insights, and business value through robust documentation while

🎯 Requirements

• 3+ years of experience applying data science, analytics, decision science, or statistical modelling
• Strong proficiency in Python and SQL, with hands-on experience working with large datasets for data
• Solid understanding of statistics, machine learning, and model development, including regression
• Frame business questions as analytical problems, develop data-driven solutions, and communicate
• Commitment to building high-quality, reproducible analytics through strong coding practices, data
• Experience with modern analytics tools and practices such as Git, SAS, Spark, Databricks, cloud

🎁 Benefits

• Great compensation package and discretionary bonus plan
• Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!
• 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase
• You will report to Senior Analytics Consultant
• Role Location: Mumbai
• Experian is an equal opportunities employer