Join the Revolution in Vietnamese Fintech!
We're a dynamic fintech startup on a mission to revolutionize how Gen Z and Millennials in Vietnam experience credit, payments and BNPL. Forget clunky processes and outdated apps – we're building a sleek, mobile-first digital credit card and PayLater experience from the ground up. Partnering with a leading bank, we combine stability with cutting-edge tech (think cool SaaS platforms + our own awesome frontend!) to deliver a product that truly understands the digital generation.
Founded by ex-McKinsey partners and backed by a global VC, we're on the lookout for the next generation of visionaries are not afraid of challenging the status quo. This is your chance to get in on the ground floor, shape a game-changing product, work with the latest tech (including AI!), and make a real impact in one of Southeast Asia's fastest-growing markets (and beyond). If you're ambitious, thrive in a fast-paced startup environment, and want to build something amazing, keep reading!
Role Overview:
Be our data detective for risk! Support the Risk Lead by analyzing data, monitoring trends, and helping to manage our credit and fraud risk exposure.
Analyze credit application data to support underwriting decisions and policy refinement.
Monitor portfolio performance, identify emerging risk trends (delinquency, fraud patterns), and generate regular risk reports.
Assist in configuring, testing, and validating rules within the risk decision engine and fraud monitoring systems.
Investigate suspicious transactions or application alerts flagged by fraud systems.
Perform ad-hoc data analysis to answer specific risk-related questions from leadership or other teams. Utilize AI tools for automating report generation, anomaly detection in data, or initial pattern analysis.
Must-Have Skills & Experience:
Bachelor's degree in a quantitative field (Statistics, Economics, Finance, Mathematics, Engineering).
1-3 years of experience in a risk analyst, data analyst, or credit analyst role, preferably in banking or fintech.
Strong analytical and problem-solving skills with high attention to detail.
Proficiency in data manipulation and analysis using Excel and SQL is essential.
Ability to interpret data and present findings clearly.
Eagerness to learn about credit risk, fraud prevention, and the fintech industry. Willingness to learn and apply AI tools for risk analysis tasks.
Good-to-Have Skills & Experience:
Experience with Python or R for data analysis.
Familiarity with data visualization tools (Tableau, Power BI).
Understanding of basic credit scoring concepts or fraud patterns.
Experience working with large datasets.
Experience in the Vietnamese financial services market.
Skills Required
- Bachelor's degree in a quantitative field (Statistics, Economics, Finance, Mathematics, Engineering)
- 1-3 years experience as a risk analyst, data analyst, or credit analyst
- Experience in banking or fintech (preferred)
- Proficiency in Excel for data manipulation and analysis
- Proficiency in SQL for data querying and analysis
- Strong analytical and problem-solving skills with high attention to detail
- Ability to interpret data and present findings clearly
- Eagerness to learn about credit risk, fraud prevention, fintech and apply AI tools
- Experience with Python or R for data analysis
- Familiarity with data visualization tools (Tableau, Power BI)
- Understanding of basic credit scoring concepts or fraud patterns
- Experience working with large datasets
- Experience in the Vietnamese financial services market
What We Do
Circle Asia is an AI-powered, credit-led neobank on a mission to become the leading digital bank in Vietnam. The company leverages a proprietary technology stack to offer a seamless payment experience, including digital credit cards, spending insights, and flexible PayLater options. Founded by former McKinsey partners and backed by global investors, Circle Asia focuses on transparency and empowering users to make informed credit decisions.
