Regional Credit Senior Associate, Ninja Financial Services

Ninja Van is a tech-enabled logistics company on a mission to provide hassle-free delivery services for businesses of all sizes across Southeast Asia. Launched in 2014, we started operations in Singapore and have become the region's largest and fastest growing last-mile logistics company, partnering with over 35,000 merchants and delivering more than 1,000 parcels every minute across six countries. 
At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers. But we are just getting started! We have much room for improvement and many ideas that will further shape the industry.
The Regional Credit Senior Associate is required to facilitate new credit frameworks and/or products introduction as well as credit management solutions enhancements to improve credit performance for all financing products.

Responsibilities

• Support in execution of all relevant credit operational and administrative tasks in systems/platform
• Credit risk evaluation by analysing Know-Your-Customer (“KYC”) documentation and financial data
• Support in the introduction of new credit models and refinements of existing frameworks for all credit products
• Support credit management solutions enhancement to digitize new credit models and products
• Assist in portfolio monitoring controls and processes implementation for new credit products
• Perform ongoing portfolio monitoring and assessment of the effectiveness of credit risk identification and mitigation projects

Requirements

• Degree in Finance, Business Analytics, Operations Research, Economics, Engineering, Mathematics, or in a related quantitative field of study
• Minimum 2 years of working experience in credit risk management, statistics or data analysis
• Existing experience performing quantitative analysis and assessment in the financial services industry preferred
• Basic understanding of KYC concepts
• Ability to perform identification, analysis, and interpretation of trends or patterns in complex data sets
• Strong fluency with Excel/Google Sheets formulas and functions
• Possess knowledge in usage of Python, R, SQL or any other data aggregation software for statistical modelling, forecasting and analysis
• Possess critical thinking skills to assess and make insightful conclusions from credit data points
• Effective written and verbal communication skills in English 
• Must be able to work independently and as a team to deliver outcomes of consistent good quality within stipulated timeline in a dynamic environment

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