Fraud Modeler

Địa điểm Hà Nội
Ngành nghề
Category Others
Mã số 10182
Loại công việc Cố định
Email liên hệ my.pham@manpower.com.vn
Điện thoại liên hệ 0336 925 689
Ngày đăng Tháng bảy 24, 2020

Job Description

A. Analytics and Reporting

  • Evaluate and enhance fraud risk models to support business strategies and operational process with data sets.

  • Build and implement policies, tools, methods for fraud management (measurement and control fraud prevention).

  • Recommend and collaborate with operational risk unit to build policies, procedures and guidelines on fraud management.

  • Prepare fraud management reports on demand.

B. Fraud Modeling

  • Collaborate with key stakeholders to build and implement fraud risk models.

  • Maintain and implement fraud risk models including stress test models for fraud risk measurement.

  • Conduct qualitative and quantitative validation of fraud management models.

  • Assess the need for adjustments and quality improvements to fraud management processes.

  • Support IT implementation of complex risk and stimulation systems as well as generate fraud risk scenarios.

  • Stay updated on the latest trends and evolutions within risk platforms and related technologies.


Job Requirement

Domain Expertise

  • 6 to 8 years of relevant experience in a bank or financial institution

  • Experience in data analysis, design and implementation of fraud risk models

  • Experience in data modelling and producing reports from data stored in the current systems

  • Experience in fraud risk model development using programming languages (e.g. R, Matlab, SAS, SQL, VBA, Python)

  • Experience in communicating complex analysis and models

  • Experience in conducting risk and financial analysis in banking or financial institutions

  • Strong knowledge of Information Security principles to ensure compliant handling and management of data

Agile / Digital Experience

  • Understanding of Agile principles, practices and scrum methodology

  • Experience working in Agile teams to support digital transformation projects is an advantage

Qualifications

  • Bachelor's degree in Banking, Finance, Economics, Risk Management, Statistics, Mathematics or Quantitative Analysis

Personal Attributes

  • An investigator with experience in handling a range of vulnerabilities and fraud scenarios

  • A good story teller who can make data meaningful for others, turning numbers into meaningful patterns

  • Self-motivated with a challenger mindset and never content to do the same things

  • Believes in non-hierarchical culture of collaboration, transparency and trust across the team