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Lowongan VP of Data Science - FinTech-PT Michael Page Internasional Indonesia

VP of Data Science - FinTech-PT Michael Page Internasional Indonesia

Jakarta Raya | Ditayangkan: 18-September-2017 | Tutup pada 18-October-2017

Syarat & Ketentuan lowongan VP of Data Science - FinTech-PT Michael Page Internasional Indonesia

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Michael Page International is a leading professional recruitment consultancy specialising in the recruitment of permanent, contract and temporary positions on behalf of the world’s top employers. The Group operates through 155 offices in 35 countries worldwide. We have operations in the UK, Continental Europe, Asia Pacific and the Americas and focus on recruiting for the following sectors:
  • Accounting
  • Banking
  • Engineering & Manufacturing
  • Healthcare and Life Sciences
  • Human Resources
  • IT & T
  • Legal
  • Marketing
  • Procurement & Supply Chain
  • Property & Construction
  • Sales
  • Secretarial & Office Support

We have a premier VP of Data Science role open up with a leading technology brand in Southeast Asia.
Client Details
Regarded as one of the top Fintech firm in Indonesia, our client is known for their dynamic culture coming from prestigious tier 1 startups, silicon valley, and management consulting. They are currently looking to grow their local Indonesian Data team.
As their VP of Data, you will operate as the right hand person of the Chief of Data. The ideal candidate should be a business-savy and action-oriented individual who will be responsible in leading data-driven improvements in optimizing business. Other key responsibilities include:
  • You will primarily be focused on mining massive amounts of structured and unstructured data to improve our credit risk, fraud detection and collections systems
  • Develop and execute a comprehensive data analytics strategy
  • Build out a coherent company-wide approach to data analytics and lead a dedicated data analytics team
  • Leverage company's vast amount of user data (spanning mobile, social media accounts, ecommerce and banking transactions, location, acquisition channel and so much more)
  • Manage/ partner with Data Engineering to ensure a scalable data infrastructure
  • Develop and execute a data analytics strategy to make continuous improvements to our credit scoring
Only shortlisted candidate will be contacted. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate in this space. Other includes:
  • Experience managing/leading a team of data scientists with a track record of overseeing multiple data science and machine learning projects at all stages: from idea generation to objectives formulation to implementation and deliverable
  • Well versed in predictive modeling and forecasting techniques, with proven achievements and track record of success
  • At least 5-8 years of experience in data science or advanced analytics related roles
  • Previous experience as the head of data science or analytics in a high-growth environment
  • Excellent communication skills (the ability to break down the most abstruse concepts to a wide array of stakeholders)
  • Self-motivated creative problem solver who can work well under pressure and tight deadlines
  • Experience with current state-of-the-art big data analytic technologies and tools is required
  • Advanced degree required in a quantitative discipline: Statistics, Applied Mathematics, Machine Learning
Job Offer
With offices across Southeast Asia, get ready to explore our business and meet new people across the region. Additionally, our young and dynamic culture is a place known for exciting collaboration looking to shape and change the technology scene.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Abednego Samudera on +62 21 2958 8873.

ALAMAT : PT Michael Page Internasional Indonesia
Gedung Pacific Place Lt 12, SCBD Jalan Jendral Sudiran Kav 52 - 53

274 1013288

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