Talent Hunts Indonesia
Data Analytics Manager
- Compensation
- Not disclosed
- Location
- Jakarta, Jakarta, Indonesia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 1. Bachelor's degree or equivalent experience in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering).
- 2. At least 4 years of hands-on experience in developing, evaluating, and monitoring machine learning models for collection risk or consumer credit scoring in financial products.
- 3. A minimum of 2 years of leadership experience.
- 4. Strong understanding of mathematics and statistics.
- 5. In-depth knowledge of machine learning concepts, such as Bagging, Boosting, and Recommendation Engines.
- 6. Expertise in creating features from various data types.
- 7. Professional experience in developing machine learning analytics models.
- 8. Ability to balance model performance with business needs.
- 9. Demonstrated ability to develop data science solutions to business problems.
- 10. Proven capability to communicate effectively with business stakeholders and understand business needs.
- 11. Experience in multiple domains (e.g., Risk Analytics, Marketing Analytics, Fraud Analytics) is a plus.
Full description
Our client is an independent software provider that is well known within the market, has products to offer comprehensive solutions for end-to-end processes in Financial Markets that actively looking for talented candidates. Please join us!**
Job Descriptions:**
- Develop predictive models for credit risk, collections, fraud detection, and other business needs in the financial industry.
- Oversee and manage the entire lifecycle of predictive model development, including validation, deployment, and maintenance.
- Engineer predictive features from existing data to enhance customer profiles and identify external data assets to incorporate into models.
- Conceptualize and design analytical model frameworks to address business problems.
- Possess strong communication skills to share insights, lead strategic initiatives, and secure stakeholder buy-in for the analytics roadmap.
Requirements:
- Bachelor's degree or equivalent experience in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering).
- At least 4 years of hands-on experience in developing, evaluating, and monitoring machine learning models for collection risk or consumer credit scoring in financial products.
- A minimum of 2 years of leadership experience.
- Strong understanding of mathematics and statistics.
- In-depth knowledge of machine learning concepts, such as Bagging, Boosting, and Recommendation Engines.
- Expertise in creating features from various data types.
- Professional experience in developing machine learning analytics models.
- Ability to balance model performance with business needs.
- Demonstrated ability to develop data science solutions to business problems.
- Proven capability to communicate effectively with business stakeholders and understand business needs.
- Experience in multiple domains (e.g., Risk Analytics, Marketing Analytics, Fraud Analytics) is a plus.