On behalf our client, **Banking IT Solution** company
**Job Descriptions**:
- Develop predictive models to address credit risk, collections, fraud, and other critical business needs in the Financial Industry.
- Take full ownership of the predictive modeling process, including development, validation, deployment, and maintenance.
- Innovate by engineering predictive features from existing data and integrating external data sources to enhance customer profiles.
- Design analytical model frameworks to address business challenges, starting from conceptualization.
- Utilize strong communication skills to share insights, lead strategic initiatives, and align stakeholders with the analytics vision and roadmap.
**Requirements**:
- Bachelor's degree or equivalent in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, etc.
- Minimum of 4 years' hands-on experience in building, evaluating, and maintaining ML models related to collection risk or consumer credit scoring within financial products.
- At least 2 years of leadership experience, guiding teams towards achieving analytical objectives.
- Deep understanding of mathematical and statistical principles underpinning predictive modeling.
- Proficiency in machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc.
- Expertise in creating features from diverse data types and professional experience in machine learning model development.
- Ability to balance model performance with business requirements and to translate data science solutions into business strategies.
- Exceptional communication skills, with the capacity to understand and articulate business needs effectively.
- Experience across multiple domains such as Risk Analytics, Marketing Analytics, Fraud Analytics, etc., is highly regarded.
Jenis Pekerjaan: Penuh Waktu
Gaji: Rp40.000.000 per bulan
**Education**:
- S1 (Diwajibkan)
**Experience**:
- Leadership experience: 2 years (Diwajibkan)
- Machine Learning Finance Modeling: 4 years (Diwajibkan)
**Language**:
- English (Diwajibkan)