Credit Risk Analyst

🚀 Join RiskSeal as a Credit Risk Analyst!
 

This is a remote position. We are looking for a Credit Risk Analyst to enhance our credit risk models and explore innovative ways to use our data. The ideal candidate will have a strong analytical mindset, a deep understanding of credit risk modeling, and experience with data-driven decision-making. This role is crucial in testing, improving, and iterating on our risk assessment methodologies.
 

Responsibilities

• Design, build, and fine-tune credit risk models to improve prediction accuracy.
• Continuously explore new methodologies and data sources to enhance borrower risk assessments.
• Conduct A/B tests, backtesting, and performance evaluations of models.
• Work closely with development teams to deploy and maintain models in production.
• Develop and track key performance metrics related to credit risk.
• Stay up-to-date with the latest advancements in credit risk modeling and machine learning.
• Communicate insights and findings to internal teams and clients.
   

Requirements

• 3+ years of experience in credit risk modeling, data science, or a related field.
• Strong proficiency in statistical modeling, machine learning, and predictive analytics.
• Hands-on experience building credit risk models (PD, LGD, scorecards, alternative data).
• Proficiency in Python, SQL, or similar tools for data analysis and model development.
• Experience working with financial data and alternative credit scoring techniques.
• Ability to translate complex analytical insights into actionable business strategies.
• Strong problem-solving skills and attention to detail.

📩 Ready to Join?
Send your resume, and let’s achieve great results together! 

What We Offer

• A high-impact role in a fast-growing fintech startup.
• The opportunity to shape the future of alternative credit scoring.
• A flexible remote work environment with a focus on results.
• Competitive salary and benefits package.
• A chance to work with a team of passionate professionals in a rapidly evolving space.