Senior Data Scientist

4 days ago


Jakarta, Jakarta, Indonesia Credit Bureau Indonesia Full time

Join to apply for the Senior Data Scientist role at CBI Credit Bureau Indonesia.

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Who We Are

PT Kredit Biro Indonesia Jaya (Credit Bureau Indonesia, "CBI") is one of the private credit bureaus in Indonesia, established in 2014 and obtained an operational license from Otoritas Jasa Keuangan (OJK) as Lembaga Pengelola Informasi Perkreditan (LPIP) in 2015. In November 2021, after obtaining approval from OJK, CBI received additional capital from shareholders and appointed a new management team, aiming to provide new and leading-edge services and products. This new identity will strengthen CBI's position as the "best-in-class, modern and innovative" credit bureau in Indonesia. CBI is dedicated to fostering a culture of excellence and innovation, believing in the power of a talented and diverse team to bring cutting-edge solutions to our clients and contribute to the overall success of the financial landscape in Indonesia.

Why Join Us

  • Innovative Environment: Continuously investing in cutting-edge technologies, including artificial intelligence, your role becomes a pivotal part of our journey into the dynamic and evolving landscape of financial services.
  • Impactful Work: We provide an opportunity to play a crucial role in shaping the financial future of individuals and businesses across the nation.
  • Professional Development: We are committed to the growth of our employees, encouraging continuous learning and offering opportunities for career advancement.
  • Collaborative Culture: Work in an inclusive environment where your ideas are valued, and teamwork is key to achieving our goals.

Role Overview

As a Data Scientist specializing in Credit Risk Modeling, you will develop and refine risk models for retail and SME financial products. Your expertise in data analysis, machine learning, and feature engineering will drive insights and innovation in credit risk management. This position involves working with massive datasets, evaluating third-party data sources, and exploring new methodologies to enhance model performance. Collaborate closely with cross-functional teams to deploy feature pipelines, analyze credit risk trends, and develop impactful data-driven solutions.

Job Responsibilities

  • Develop risk models for retail and SME finance products, including consumer lending, multi-finance, credit cards, and SME financing.
  • Perform feature engineering and analysis on large-scale datasets such as credit reports and e-commerce data, and deploy feature pipelines.
  • Evaluate third-party data sources for their applicability and effectiveness in credit modeling.
  • Research advanced methodologies and data mining techniques to enhance model performance.
  • Continuously explore and unlock the potential value of data for credit modeling and data product development.

Job Requirements

  • 3-6 years of relevant experience in risk model development with a solid understanding of credit risk management.
  • Proficiency in machine learning models (e.g., boosting trees, regression models) and strong coding skills in Python and SQL.
  • Hands-on experience in data analysis and feature engineering.
  • Fluency in English with excellent communication skills.
  • A collaborative mindset with good team spirit.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

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