Fintech Credit Risk Modeler

2 weeks ago

Kuala Lumpur, Kuala Lumpur, Malaysia Funding Societies | Modalku Group Full time

Funding Societies | Modalku Group is a pioneering fintech company in Southeast Asia, focused on providing business financing to small and medium-sized enterprises (SMEs) through our digital platform. We give SMEs access to funding from individual and institutional investors.

About Our Company:
  • Serve with Obsession: We prioritize building long-term relationships with our customers based on mutual benefits.
  • Grow Relentlessly: We encourage individuals to grow professionally and personally.
  • Enable Teamwork, Disable Politics: We promote collaboration and unity to facilitate teamwork and success.
  • Test Measure Act: We foster innovation and continuous improvement through experimentation and iteration.
  • Focus on Impact: We focus on delivering tangible results that create a lasting impact.

We are seeking a highly skilled Senior Data Scientist to join our team at Funding Societies | Modalku Group. As a member of our team, you will work closely with experts to analyze complex data sets, develop predictive models, and provide valuable insights that inform business decisions.

Key Responsibilities:Model Development and Deployment:
  • Develop, implement, and maintain machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.
  • Optimize model parameters and refine existing business logic and parameters.
  • Ensure models are reliable, understandable, and deliver actionable insights.
Data Analysis and Insights:
  • Conduct in-depth data analysis to identify trends, patterns, and areas for improvement in existing scorecards and processes.
  • Design and maintain dashboards and reports to track model key performance metrics and provide insights to stakeholders.
Model Infrastructure and MLOps:
  • Establish and maintain a robust model infrastructure to support the entire machine learning model lifecycle.
  • Automate workflows for model training, validation, deployment, testing, and monitoring to ensure efficiency and reliability.
Mentorship and Leadership:
  • Mentor and guide junior data scientists and analysts in the team.
  • Oversee data science projects from start to finish, ensuring timely delivery and alignment with business objectives.

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