(Multi-Finance IT Solution) Data Analytics Manager

Hybrid working scheme: 3 WFO & 2 WFH

About the Company:


Established in 2000, our company stands as a premier Independent Software Provider, offering a comprehensive suite of solutions tailored for the financial sector. Our expertise spans across customer finance and leasing, mobile and document management, IT training and development, data warehousing and business intelligence, and payment channel solutions. Our commitment to delivering cutting-edge, comprehensive solutions has solidified our position as a key enabler for financial businesses looking to enhance operational efficiency and drive growth in the digital era.

Our company is distinguished by an impeccable track record, boasting a 100% success rate in project implementations. This achievement is supported by our exceptional team of highly skilled professionals, deep business insights, and extensive experience in the financial industry, particularly within banking and multi-finance companies. Our ability to consistently deliver tailored, impactful solutions is rooted in a profound understanding of the unique challenges and opportunities within the financial sector, ensuring our clients achieve enduring success and innovation in their operations.

We are in search of a forward-thinking Data Analytics Manager to lead our team in Jakarta. This role is pivotal for someone with a passion for leveraging data to solve complex problems within the Financial Industry, particularly in areas such as credit risk, collections, and fraud. You will be responsible for the entire lifecycle of predictive model development, from conception to deployment and ongoing maintenance, driving our analytics capabilities to new heights.

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.