Role Overview
We are looking for a skilled Data Scientist to join our team and contribute to enhancing our credit scoring model and improving the overall experience of our users.
Roles and Responsibilities:
- Credit Scoring Model Management:
- Maintain, update, and refine the app’s credit scoring model using user behavior, transaction history, and other relevant data.
- Implement new credit risk assessment techniques to enhance accuracy.
- Business Insights:
- Generate timely and actionable insights from app data to assist the business team in strategic decision-making.
- Present findings in a clear and concise manner, translating complex data into business-friendly insights.
- Data Health & Quality:
- Conduct regular data health checks to ensure app data integrity and seamless operation.
- Monitor and optimize data pipelines to ensure consistent data flow across platforms.
- User Behavior Analysis:
- Analyze user behavior within the app to identify patterns and suggest feature improvements.
- Develop predictive models to enhance personalized user experience and retention strategies.
- A/B Testing & Experimentation:
- Design and execute A/B tests to evaluate the impact of new app features or changes on user engagement and financial outcomes.
- Work closely with the product and engineering teams to implement insights.
- Reporting:
- Provide monthly and quarterly reports on key performance indicators (KPIs).
- Collaboration with Cross-functional Teams:
- Work closely with product managers, developers, and UX teams to ensure data-driven decisions are at the core of feature development.
- Collaborate with the business intelligence team to ensure seamless data integration and reporting.
Requirements:
- Proven experience as a Data Scientist or similar role, preferably in the fintech or financial services industry.
- Strong proficiency in statistical analysis, machine learning, and data modeling.
- Proficiency with data tools and languages such as Python and databases.
- Experience with credit scoring models and financial data analysis is a strong plus.
- Strong communication skills with the ability to present complex information in a clear and concise manner.
- Analytical mindset with a problem-solving attitude.
Nice to Have:
- Experience with app-based financial products or services.
- Knowledge of regulatory frameworks and compliance for financial services.
