Deskripsi Pekerjaan
Join our innovative team at Dwi Cermat Indonesia as a Data Scientist - Risk Platform, where you'll transform raw data into strategic insights that drive financial decision-making. This role offers fresh graduates a unique opportunity to apply academic knowledge in real-world scenarios by manipulating complex datasets and developing statistical models for credit risk assessment. You'll leverage cutting-edge machine learning techniques to predict default probabilities, identify fraud patterns, and optimize risk mitigation strategies. Our collaborative environment encourages continuous learning and professional growth, allowing you to work alongside industry experts while contributing to our mission of delivering secure and efficient financial solutions. Ideal candidates will thrive in fast-paced settings where analytical rigor meets practical application.
Tanggung Jawab
- Manipulate and preprocess large-scale datasets for risk modeling purposes
- Develop and validate statistical models for credit risk assessment and prediction
- Apply machine learning algorithms to identify fraud patterns and default risks
- Collaborate with cross-functional teams to implement data-driven risk solutions
- Generate actionable insights through exploratory data analysis and visualization
- Document model methodologies and present findings to stakeholders
- Stay updated on industry best practices in risk analytics and regulatory compliance
Kualifikasi
- Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
- Experience with data manipulation and statistical modeling (academic or projects)
- Proficiency in Python/R programming and SQL for data extraction
- Familiarity with machine learning libraries (scikit-learn, TensorFlow, or PyTorch)
- Strong analytical thinking and problem-solving abilities
- Excellent communication skills for translating technical insights
- Fresh graduates with relevant coursework or internships encouraged to apply