Deskripsi Pekerjaan
Dwi Cermat Indonesia is a leading provider of risk management and analytics solutions, committed to helping businesses make smarter decisions. We are expanding our Risk Platform team and looking for a talented Data Scientist to join us in Jakarta Raya. This is a fantastic opportunity for fresh graduates who have a strong background in data science and a passion for solving complex problems.
In this role, you will leverage machine learning and statistical modeling to analyze credit risk and develop predictive models. You will work with large, diverse datasets and collaborate with cross-functional teams to integrate data-driven insights into our platform. You will also have the opportunity to learn from experienced data scientists and engineers.
We are looking for candidates who are curious, detail-oriented, and eager to apply their knowledge in a practical setting. If you have experience with Python, SQL, and machine learning frameworks, and a desire to make an impact in the fintech space, this role is for you.
Join us and contribute to building innovative risk solutions that drive business success.
Tanggung Jawab
- Analyze large datasets to uncover patterns and trends in credit risk behavior.
- Design, develop, and deploy machine learning models for risk assessment and prediction.
- Collaborate with engineering teams to integrate models into production systems.
- Monitor model performance and implement improvements to ensure accuracy and reliability.
- Communicate insights and recommendations to stakeholders through reports and visualizations.
- Contribute to the development of data pipelines and data quality processes.
- Stay up-to-date with the latest advancements in data science and risk analytics techniques.
Kualifikasi
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
- Solid understanding of statistical modeling, hypothesis testing, and machine learning algorithms.
- Proficiency in Python or R for data manipulation, analysis, and model building.
- Hands-on experience with SQL for querying and managing large datasets.
- Familiarity with credit risk concepts and financial services is an advantage.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills and ability to work effectively in a team.