Responsibilities

• Conduct thorough credit assessments on loan applications, evaluating factors such as credit history, financial statements, and collateral.
• Utilize statistical models and risk assessment tools to analyze creditworthiness and determine appropriate lending terms.
• Monitor and manage credit exposure by identifying potential risks and implementing risk mitigation strategies.
• Collaborate with internal teams, including underwriting and collections, to optimize credit processes and improve portfolio performance.
• Stay updated on industry regulations and market trends to ensure compliance with relevant guidelines and best practices.
• Prepare detailed reports and presentations summarizing credit risk metrics and performance indicators for senior management.
• Participate in cross-functional projects aimed at enhancing credit risk management practices and driving business growth.
  
  

Requirements

• Experience with one or more data programming languages (Python, R, SQL) and one or more visualization tools (Tableau, PowerBI, Qlikview, D3 Js )Conduct every analysis with speed, quality, and reliability.
• A passion for analytics, a love of what it is - tough, intriguing, never dull, always intellectually challenging, and constantly demanding that you expand your skill set.
• Strong in first-principle thinking and applying analytics to real-life business problems.
• Ability to self-manage priorities and deliverables while working in a fast-paced, startup environment.
• A solid understanding of data structures and expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods as well as scenario-based sensitivity analyses.
  
  

This job was posted by Vanidevi Mc from CheQ.