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Credit Risk Analyst, Monee (2027 Graduate)

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Onsite

Credit Risk Analyst, Monee (2027 Graduate)

Monee

Credit Risk Analyst, Monee (2027 Graduate)

Skills

SQL QueriesPythonData ScienceData Analysis

3 months ago

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Important information


Contract type:

Other

Location:

Singapore

Work mode:

Onsite

Published on:

11 August 2026

What they need


  • 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

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

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