Credit Risk Analyst, Monee
Job Description
Job Description
- Monitor and analyze the performance of existing business portfolios, including delinquency trends, early warning indicators, and credit quality metrics
- Identify emerging risks within the portfolio and provide actionable insights to mitigate potential losses
- Support the assessment and optimization of portfolio-level credit strategies, ensuring alignment with regional credit risk policies
- Assist in developing recommendations for local credit risk policy updates based on regional guidance and portfolio observations
- Prepare portfolio reports, risk dashboards, and management summaries to support senior leadership decision-making
- Collaborate with Operations and Product teams to ensure consistent application of credit policies and effective risk controls
- Participate in periodic portfolio reviews, stress testing, and credit risk assessment exercises
- Provide analytical support for regulatory reporting, audits, and internal governance 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 2026 and join us by August 2026
- 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
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Key Skills
About Company
Skills:
Data Analytics, Python, Sql
Skills:
Data Analytics, Sql, Python