Credit Risk Analyst, Monee (2026 Graduate)

Monee; Singapore; On-site; SGD 31,000 - 45,000; Full time

Job summary

A financial services company based in Singapore is looking for a data analyst intern to monitor portfolio performance and provide actionable insights. The ideal candidate should be pursuing a Bachelor's Degree in a quantitative field, such as Finance or Data Science, and be proficient in SQL and Python. Responsibilities include preparing analytical reports and collaborating with teams to align on credit policies. This is a great opportunity for recent graduates expected to join by August 2026.

Qualifications

• Currently pursuing a Bachelor's Degree, expected to graduate by July 2026.
• Proficiency in SQL and Python required.
• Prior experience in data analytics or similar roles is a plus.
• Able to navigate ambiguity and steer analytics projects toward business goals.
• Strong analytical thinking and data management experience.
• Attention to data discrepancies and detail-oriented.
• Ability to communicate complex results to technical and non-technical stakeholders.

Responsibilities

• Monitor and analyze the performance of business portfolios.
• Identify emerging risks and provide actionable insights.
• Prepare portfolio reports and risk dashboards.
• Collaborate with teams to ensure application of credit policies.
• Collaborate with Operations and Product to apply credit policies consistently.
• Participate in portfolio reviews, stress testing, and risk assessment.
• Provide analytical support for regulatory reporting, audits, and governance.

Skills

Proficiency in SQL

Proficiency in Python

Analytical thinking

Attention to detail

Executive communication

Education

Bachelor's Degree in Quantitative Finance, Statistics, or related fields

Bachelor's degree in Statistics

Bachelor's degree in Computer Science

Bachelor's degree in Business Analytics

Bachelor's degree in Data Science

Job description

Responsibilities

• 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 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

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