Multi-Finance IT Solution Data Analytics Manager
Multi-Finance IT Solution Data Analytics Manager
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Job Description
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 cuttingedge 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 multifinance 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 forwardthinking 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:
- Bachelors degree or equivalent in a quantitative field such as Statistics Mathematics Computer Science Engineering etc.
- Minimum of 4 years handson 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.
Banking,IT Services,Financial Services,Bagging,Machine Learning,ML,AI
Employment Type
Full Time
