Deskripsi Pekerjaan
We are seeking a passionate Data Scientist to join our Risk Platform team at Dwi Cermat Indonesia. This role offers an exceptional opportunity for fresh graduates to apply their analytical skills in developing cutting-edge statistical models for credit risk assessment. You will work with large datasets, leverage machine learning algorithms, and directly influence financial decision-making processes. Our collaborative environment encourages innovation and professional growth, providing mentorship from industry experts while tackling real-world challenges in risk management.
As part of our dynamic data science team, you'll transform raw data into actionable insights that drive business strategy. We value fresh perspectives and encourage continuous learning through exposure to emerging technologies and methodologies. The position offers competitive compensation, comprehensive benefits, and a clear career progression path within Indonesia's leading financial technology company.
Tanggung Jawab
- Develop and implement statistical models for credit risk assessment using machine learning techniques
- Manipulate, clean, and analyze large-scale datasets to identify meaningful patterns
- Collaborate with cross-functional teams to translate business requirements into data solutions
- Validate model performance and optimize algorithms for accuracy and efficiency
- Present findings and recommendations to stakeholders through clear visualizations and reports
- Stay updated with industry trends in risk analytics and regulatory requirements
- Contribute to the continuous improvement of risk management frameworks
Kualifikasi
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field
- Fresh graduates with relevant academic projects or internships in data science
- Proficiency in Python/R for data manipulation and statistical modeling
- Experience with SQL and database management systems
- Familiarity with machine learning algorithms and model validation techniques
- Strong problem-solving skills with attention to detail
- Excellent communication abilities to convey complex concepts to non-technical stakeholders