Data Scientist
Credit Key- Full Time
- Junior (1 to 2 years)
Candidates must have 10+ years of experience in consumer credit modeling or risk management within a major bank or fast-growing Neo-bank/Fintech. They should have previously taken on this responsibility and demonstrated their ability to shape the direction of credit trends in their portfolio. Proficiency in SQL and experience in Python are required, along with a deep understanding and experience in statistics, experiment design, and machine learning techniques. A Master's degree or Ph.D. in Computer Science, Mathematics, or Electrical Engineering from a top-tier institution is necessary.
The Head of Credit will hold primary responsibility for the effectiveness of predictive modeling and minimizing credit losses for Aven's products. The role involves being a go-to expert for deep insights and solving new credit problems, switching contexts and operating across the entire stack of work from loan-level decisions to shipping credit models, and engaging with engineers, data architects, and DevOps colleagues. Additionally, they will be responsible for building and deploying credit risk models to production environments and shipping models with step-change improvements in AUC/ROC/KS.
Web-based solutions with security focus
Aven provides web-based solutions with a strong focus on security and data protection. The company utilizes JavaScript technology to enhance the functionality of its platform, which suggests that it offers interactive and dynamic web services. Aven also employs Cloudflare's challenge-platform, indicating a commitment to safeguarding its website from malicious traffic and ensuring the security of its users' data. Unlike many competitors, Aven's emphasis on security may attract clients who prioritize data protection in their online activities. The goal of Aven is likely to deliver reliable and secure web solutions that meet the needs of its users.