Data Scientist (FinTech sector)

This is a remote position. We are looking for a Data Scientist to enhance credit risk models and explore innovative ways to use 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.

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.