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Risk Analyst – Data Science & Analytics

Experian Ventures · Remote (US) · Remote

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About Experian Ventures

Experian Ventures powers global opportunities while creating new value with data and analytics. We look for firms who will deliver the solutions of tomorrow to simplify credit and lending, reduce complexity in specialized verticals, automate and secure...

About the role

We are looking for a Risk Analyst – Data Science & Analytics to join our Market Insights & Custom Analytics team. This is a hands-on analytics role focused on turning large and complex datasets into high-quality market intelligence, client-specific insights and analytical solutions. You will work across exploratory analysis, statistical modelling, segmentation, benchmarking, customer and portfolio analytics, and automation of repeatable insight workflows.

What they're looking for

  • Approximately 3+ years of experience in analytics, data science, decision science, statistical modelling or a closely related field
  • Strong hands-on proficiency in Python for data manipulation, exploratory analysis, statistical modelling and machine learning
  • Strong working knowledge of SQL, including the ability to extract, transform and analyse large and complex datasets
  • Sound grounding in applied statistics, including sampling, distributions, hypothesis testing, regression and model evaluation
  • Hands-on experience with common supervised and unsupervised techniques such as regression, tree-based methods, ensemble methods, gradient boosting, classification, clustering and segmentation
  • Understanding of model-development practices including train/validation/test design, cross-validation, overfitting, performance metrics, stability and interpretability
More about this role

Role Overview

We are looking for a Risk Analyst – Data Science & Analytics to join our Market Insights & Custom Analytics team. This is a hands-on analytics role focused on turning large and complex datasets into high-quality market intelligence, client-specific insights and analytical solutions. You will work across exploratory analysis, statistical modelling, segmentation, benchmarking, customer and portfolio analytics, and automation of repeatable insight workflows. The role requires strong coding and analytical depth together with the ability to explain what the data means for a business audience; prior experience in a specific risk domain is not mandatory.

  • Analyse large bureau and client datasets to identify market trends, portfolio patterns, customer segments, emerging risks and growth opportunities.
  • Deliver custom analytics assignments by converting client questions into structured hypotheses, analytical methods, outputs and recommendations.
  • Build statistical models, segmentations, benchmarks and diagnostic analyses where they materially improve the quality of insight or decision making.
  • Perform data preparation, exploratory analysis, feature engineering and quality...

Read the full posting on Experian Ventures's site ↗

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