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Sains & Teknologi 🏢 Full Time ⭐️ Terverifikasi

Data Scientist - Risk Platform

Dwi Cermat Indonesia
Jakarta Raya
Estimasi Gaji
Rp 8.000.000 – Rp 15.000.000
Live Update
26 April 2026
Batas Akhir
26 Apr 2027

Deskripsi Pekerjaan

Join our dynamic team at Dwi Cermat Indonesia as a Data Scientist - Risk Platform and play a pivotal role in revolutionizing credit risk assessment through advanced analytics and machine learning solutions. This is an exciting opportunity for fresh graduates to launch their career in the FinTech industry and make a significant impact on the financial landscape of Indonesia.

In this role, you will be responsible for developing and deploying statistical models that drive critical business decisions in the credit risk domain. You will work on end-to-end machine learning projects, from data exploration and feature engineering to model development, validation, and deployment. Your insights will directly influence credit policies and help the organization manage financial risk effectively.

You will collaborate closely with cross-functional teams including data engineers, business analysts, and risk managers to extract valuable insights from complex datasets. Your work will involve building predictive models, performing scenario analysis, and creating comprehensive reports that communicate findings to stakeholders at all levels of the organization.

We are seeking passionate fresh graduates who are eager to apply their academic knowledge to real-world challenges. If you have a strong foundation in data manipulation, statistical modeling, and machine learning, this could be the perfect starting point for your career in FinTech. We offer competitive compensation, mentorship programs, and opportunities for professional growth in a supportive and innovative environment.

At Dwi Cermat Indonesia, we value innovation, collaboration, and continuous learning. As part of our team, you will have access to cutting-edge tools and technologies, participate in training programs, and work on challenging projects that push the boundaries of what's possible in credit risk analytics.

Tanggung Jawab

  • Develop and implement statistical models for credit risk assessment and prediction
  • Manipulate and analyze large datasets to extract actionable insights and trends
  • Build and deploy machine learning algorithms to support credit decision-making processes
  • Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
  • Monitor model performance and continuously improve predictive accuracy
  • Prepare detailed reports, dashboards, and visualizations for risk management stakeholders
  • Stay updated with industry trends and best practices in credit risk analytics and FinTech

Kualifikasi

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field
  • Strong experience in data manipulation, analysis, and statistical modeling techniques
  • Proficiency in programming languages such as Python, R, or SQL
  • Knowledge of machine learning techniques and their application in risk modeling
  • Understanding of credit risk principles and financial services industry
  • Excellent problem-solving and analytical thinking abilities
  • Strong communication skills to present complex findings to non-technical stakeholders
  • Familiarity with big data technologies and cloud platforms is a plus

Keahlian yang Dibutuhkan

Python SQL R Machine Learning Statistical Modeling Data Analysis Credit Risk Predictive Analytics Data Visualization Big Data Risk Assessment FinTech

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