Credit Risk Analyst
ChannelVAS
Islamabad, Islamabad Capital Territory, Pakistan
7d ago

Description

Do you have what it takes to join Channel VAS, the global Fin Tech leader?

Channel VAS lends more than $4.5 million USD to over 550 million people in 25 countries worldwide - and these numbers keep growing every day! We employ only the best to join our team of highly skilled professionals in our Operations Center in Greece and other countries.

The successful candidate will lead Credit Risk Management for micro-finance being guided and supported by the Big Data & Analytics Director.

He / she will deploy advanced credit risk models and algorithms to manage portfolios of large number of micro-loans with the aim to maximize adoption and revenues.

The successful candidate will also manage the credit relevant interaction with Mobile Operators and Financial Institutions.

The candidate will be able to demonstrate his / her expertise on models and data, high level of business understanding, critical thinking, personal, and management skills.

He / she will have the opportunity to further enhance his / her experience on credit risk, portfolio management and management.

RESPONSIBILITIES :

  • Manage large portfolios of micro-loans through financial and mathematical models.
  • Interaction with Mobile Network Operators and Financial Institutions for service optimization and management
  • Clear and accurate reporting to all stakeholders throughout the service life-cycle monitoring performance against targets.
  • Deploy advanced credit risk models and algorithms.
  • Analyze large data volumes to identify credit risk factors.
  • Develop strategies for credit risk management and revenue maximization.
  • Conduct advanced risk analytics.
  • Requirements

  • BSc and MSc in Mathematical Sciences, Computer Science, Finance or Business from an accredited institution.
  • Minimum of 3 years experience in a related role (e.g. credit risk analyst / manager, service manager).
  • Strong analytical skills.
  • Hands-on experience at least in two of the following (with descending significance) :
  • Credit risk management

    Digital service management and optimization

    Big data credit scoring

  • Ability to set-up, organize and monitor pilots for testing and comparing risk models
  • 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.
  • Experience in and ability to gain risk insights analyzing large volumes of data.
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