financial technology (fintech) and digital payments industry
. This role focuses on
credit risk modeling, predictive analytics
, and
data-driven strategy development
.
Key Responsibilities:
Develop, implement, and maintain
quantitative models and scorecards
to assess default risk, repayment behavior, and portfolio performance.
Build and monitor
credit scoring and financial forecasting models
using advanced predictive tools and data science techniques.
Conduct model performance tracking, validation, and back-testing to ensure reliability and regulatory compliance.
Collaborate with internal stakeholders to apply model insights to
credit decisions, business strategies, and risk appetite frameworks
.
Use data analysis to identify risk trends, optimize portfolio performance, and uncover business opportunities.
Requirements:
Degree in
Statistics, Mathematics, Data Science, Engineering
, or related quantitative field (Master's preferred).
5-7 years of experience
in data analytics, credit risk modeling, or financial data science.
Proficiency in
R, Python, or SQL
for data manipulation and model development.
Strong analytical thinking, attention to detail, and ability to translate data into actionable insights.
Experience in
consumer lending, banking, or fintech risk analytics
is an advantage.
Details:
Location:
Kuala Lumpur
Working Hours:
Monday-Friday, 8:30am-5:30pm
Salary Range:
RM7,500 - RM9,500
Job Type: Permanent
Pay: RM7,500.00 - RM9,500.00 per month
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