Credit Risk Analyst, Monee (2027 Graduate) Singapore Risk Management

Monee; Singapore; Hybrid; SGD 45.000 - 72.000; Vollzeit

Zusammenfassung

Monee in Singapore is seeking a Credit Risk Analyst (2027 Graduate) to join as an entry-level role. You will analyze portfolio performance, build risk indicators, and help shape credit strategies.

Ideal candidates have a quantitative degree, strong SQL and Python, and internship or relevant analytics experience. You will collaborate with cross-functional teams and support regulatory reporting.

This role offers an opportunity to grow in risk management within a leading digital payments provider.

Qualifikationen

• Bachelor’s degree or higher in a quantitative field from a reputable university.
• Strong SQL and Python skills to translate data into insights.
• Internship or work experience in analytics is a plus.
• Ability to navigate ambiguity and drive analytics projects to business goals.
• Excellent data management and attention to detail.
• Clear communication of complex results to stakeholders.

Aufgaben

• Monitor portfolio performance and delinquency trends to surface risks.
• Build and monitor key risk indicators and translate data patterns into actionable credit strategies.
• Support design and optimization of credit policies through deep-dive risk analyses.
• Collaborate with Operations, Product, and Engineering to implement strategies in production.
• Provide analytical support for regulatory reporting, audits and governance.
• Contribute to stress testing and credit risk governance end-to-end.

Kenntnisse

Analytical thinking

Attention to detail

Communication skills

Ausbildung

Bachelor's Degree or above in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science

Tools

SQL

Python

Jobbeschreibung

Credit Risk Analyst, Monee (2027 Graduate)

Entry Level

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.

Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.

Monee is part of Sea Limited, a global technology company.

Job Description:

• Monitor and analyse portfolio performance, tracking delinquency trends, vintage curves, early warning signals, and credit quality metrics to surface risks and opportunities.
• Build and monitor key risk indicators, translating data patterns into actionable recommendations for your team's credit strategies.
• Support the design and optimization of credit policies by conducting deep-dive analysis on risk exposure and profitability to identify where strategy adjustments can improve outcomes.
• Collaborate with Operations, Product and Engineering teams to ensure credit strategies are implemented accurately in production.
• Provide analytical support for regulatory reporting, audits, and internal governance requirements.
• Contribute to stress testing, regulatory reporting, and credit risk governance, gaining broad exposure to how risk management works end to end.

Requirements:

• Currently pursuing/possesses a Bachelor's Degree or above in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science, and other related fields at a reputable university with strong academic credentials/results, expected to graduate by July 2027 and join us by August 2027.
• Proficiency in SQL and Python, with the ability to translate data into actionable insights.
• Prior internship/full-time/part-time working experience in operations analytics, data analytics, data-driven roles, or related field is a plus.
• Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes.
• Excellent analytical thinking and solid experience in data management.
• Strong attention to details and ability to notice discrepancies in data.
• Ability to clearly communicate complex results to technical experts, business partners, and executives.