Credit Risk Data Scientist at ChannelVAS

  • Gerakas, East Attica, Greece
  • Ημερομηνία ανάρτησης 05/01/2018
  • Εμφανίσεις 501
Επισκόπηση θέσης εργασίας

The successful candidate will lead developments on Credit Risk Management for micro-finance being guided and supported by the Big Data & Analytics Director. He/she will develop credit risk models and algorithms based on large volumes of data, and deploy them to manage portfolios of large number of micro-loans with the aim to maximize adoption and revenues.

The candidate will be able to demonstrate his/her expertise on models and data, high level of business understanding, critical thinking, personal skills, and knowledge transfer capabilities. He/she will have the opportunity to further develop his/her knowledge on credit risk, portfolio management and machine learning.



  • Design, develop and implement scorecards for micro-finance.
  • Develop and deploy advanced credit risk models and algorithms.
  • Manage large portfolios of micro-loans through financial and mathematical modelling.
  • Transfer knowledge on credit risk model development and management.
  • Analyze large data volumes to identify credit risk factors.
  • Develop strategies for credit risk management and revenue maximization



  • BSc and MSc in Mathematical Sciences, Computer Science or Finance from an accredited institution.
  • Minimum of 3 years’ experience in a related role (e.g. credit risk analyst/manager and/or data scientist).
  • Strong analytical skills, evidence of statistical/machine learning models and algorithms development.
  • Hands-on experience at least in two of the following (with descending significance):
    • Credit scorecard development and implementation
    • Credit portfolio management
    • Machine learning
    • Risk analytics
    • Big data credit scoring
  • Ability to set-up, organize and monitor pilots for testing and comparing risk models
  • Experience in and ability to gain risk insights analyzing large volumes of data.
  • Strong interpersonal and communication skills.
  • Ability to hit tight deadlines and work under pressure and strict attention to detail.
  • Excellent judgment and problem-solving skills.


The following will be considered a plus

  • PhD in Mathematical Sciences, Computer Science or Finance from an accredited institution.
  • Hands-on experience of big data processing and analytics.
  • Creative skills.
  • Programming skills.

Επιστήμη Πληροφορικής, Θετικές, Θετικές Επιστήμες, Οικονομικές, Οικονομικές Επιστήμες, Πληροφορικής

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