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Deskripsi Perusahaan
Advance Innovations (AdIns) adalah organisasi yang dinamis dan berkembang dengan misi memberikan solusi bisnis melalui integrasi inovatif antara teknologi yang telah terbukti dan kreativitas.
Staf kami yang ramah terdiri dari para profesional yang sangat terampil dan terlatih. Pengalaman kami telah membantu kami memahami setiap karakteristik proses bisnis, sehingga kami dapat memberikan solusi inovatif dengan layanan kualitas tertinggi, memenuhi tenggat waktu dengan harga paling masuk akal. Ini merupakan tantangan yang membutuhkan inovasi, kreativitas dan kecerdasan, tanpa pendekatan konvensional dalam penyelesaian masalah.
AdIns didirikan pada bulan April 2000 dengan visi dan komitmen yang kuat untuk memberikan solusi yang sesuai dan inovatif untuk meningkatkan keunggulan kompetitif pelanggan. Dalam beberapa tahun terakhir, AdIns telah menjadi Perusahaan IT tepercaya dan dihormati yang menyediakan produk dan layanan yang memiliki fitur paling fungsional di kategorinya.
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Job Description
Build predictive models for credit risk, collections, fraud, and other business needs in Financial Industry
Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance
Engineer predictive features from existing data to build refined customer profiles
Identify external data assets to bring into the model mix Work backwards to conceptualize and design analytic model frameworks to solve business problems
Strong communication skills to share your learnings, lead with the given strategy, get multiple stakeholders to buy into the vision and execution of the analytics roadmap
Requirements
Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 4 years of hands-on experience in building, evaluating, and monitoring ML collection risk or consumer credit scoring models for financial products
At least 2 years of leadership experience Solid understanding of mathematics and statistics
Sound knowledge of machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc Expert in feature creation on a variety of data types
Professional experience in building machine learning analytics model development
Understanding of trade-offs between model performance and business needs
Proven experience to formulate data science solutions to business problems
Proven ability to communicate with business and know business needs
Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Fraud analytics etc.