Regional Senior Credit Associate

1 week ago

Singapore Ninja Van Full time

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 New Business Units (NBU) division comprises some of the most exciting and enterprising teams at Ninja Van. Building on Ninja Van’s existing capabilities, we experiment with new ideas to develop innovative products and services that enhance our core business and help us serve our clients, partners and end-customers better.

Housed within the NBU division, the Financing business unit is a new vertical that supports Ninja Van’s ecosystem partners with micro-financing and cross-border payment solutions. We are looking for a Regional Senior Credit Associate to monitor portfolio health and drive credit model improvements across our various financing products.

**Responsibilities**:

- Responsible for conducting credit risk assessments by analyzing KYC documentation and financial data collected from Ninja Van customers.
- Perform regular portfolio monitoring checks and effectiveness assessment of credit risk identification and mitigation projects (concentration risk, fraud risk, industry risk analysis, etc.).
- Perform in-depth data analysis with quantitative and/or qualitative methods to derive data findings from both original and secondary research sources.
- Use gathered data to create data visualizations, executive summaries, and other deliverables that interpret and disseminate outcomes and key findings to relevant internal stakeholders.
- Leverage on data findings to derive insightful conclusions and propose credit model refinements whenever applicable.
- Handle credit model stress testing and scenario testing in relation to portfolio whitelisting processes on an ongoing basis.
- Ensure adherence to credit policies and risk standard.

**Requirements**:

- Minimally a **Bachelors degree in Finance, Business Analytics, Mathematics, Operations Research, Economics **or in a related quantitative field of study.
- **
At least 2 years** of relevant experience in **credit risk management, statistics or data analysis**.
- Ability to perform **identification, analysis, and interpretation of trends or patterns** in complex data sets.
Advantageous to have existing experience performing **quantitative analysis and assessment in the financial services industry**.
- Possess **critical thinking skills** to assess and make insightful conclusions from credit data points.
- Effective written and verbal **communication skills**.
- Must be able to **work independently and as a team** to deliver outcome of consistent good quality within stipulated timeline in a dynamic environment.

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