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Desk Collection Supervisor

Posted about 1 month ago

OfficeJakarta, Jakarta, Indonesia

Job Description

 

  • Coordinate collection activities of unsecured products, manage flow rates to prevent accounts from flowing down to charge off and minimize net credit losses
  • Recruitment, training and performance management of the collection team to ensure good productivity
  • Process-reengineering of collection processes to improve productivity
  • Capacity tracking, management and planning to ensure adequate collection resources for the section all the time
  • Manage and optimize collection cost
  • Prepare, document and monitor strategy effectiveness and custody of the collection strategy/procedure
  • Tracking and evaluating the effectiveness of all collection strategies. Design and conduct champion & challenger tests of all collection strategies
  • Prepares regular and customized, in-depth reports and information summarizing various aspects of unit(s) activities. Interprets important aspects of reports for management.

 

Qualifications

 

  • Bachelor's degree 
  • 5 years of working experience in Collection and 1-2 years of working experience as Desk Collection Supervisor/Manager
  • Strong understanding of collections activities and process. 
  • Sound people supervisory/managerial skills.
  • Excellent problem-solving skills. 
  • Advanced Communication skills, both verbal and written.
  • Adequate analytical skills and has experience in developing collection reports to measure collection productivity/performance.
  • Experience with collection strategy to achieve both short term and long term desirable result/portfolio quality. 
  • Ms-office skills.

 

Job details
Workplace
Office
Location
Jakarta, Jakarta, Indonesia

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Employees
1123
Industry
Financial Services
Headquarters
DKI Jakarta, Jakarta Pusat
Founded
2018
Company location
Plaza Bank Index (Plaza Permata) 12th floor, Jl.M.H Thamrin No. 57, DKI Jakarta, Jakarta Pusat 10350, ID
Specialties
fintech, artificial inteligence, lending, micro lending, machine learning, deep learning, p2p lending, p2p, and financial technology

Key team members

Ronny Wijaya

Ronny Wijaya

Helping through Fintech

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