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Senior Credit Portfolio Risk Manager

https://www.citi.com/ Logo

Citi

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Location:
Singapore , Singapore

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Category:
Finance

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Contract Type:
Not provided

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Salary:

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Job Description:

Senior management-level position leading credit risk function for unsecured lending at Citi Global Wealth. Responsible for managing all aspects of credit risk within unsecured lending portfolio, driving strategic initiatives, and optimizing risk-reward balance. Requires strong blend of technical expertise in risk analytics, data management, and credit risk concepts, coupled with exceptional leadership and interpersonal skills.

Job Responsibility:

  • Develop, implement, and continually refine credit risk strategies for unsecured lending products
  • Utilize advanced risk analytics and loss forecasting techniques to identify emerging trends and assess portfolio performance
  • Monitor key financial drivers and portfolio metrics to inform decision-making
  • Collaborate with product, marketing, finance, and operations teams to align risk strategies with business objectives
  • Lead the development, validation, and implementation of predictive credit risk models, scorecards, and decision engines
  • Oversee data management practices for credit risk
  • Lead, mentor, and develop a team of risk analysts and specialists
  • Build and maintain strong relationships with internal stakeholders across various departments
  • Lead the end-to-end process of developing new credit strategies
  • Design and execute champion/challenger tests and other experimental designs

Requirements:

  • Bachelor's degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Engineering, or Computer Science
  • Master's degree or MBA preferred
  • Minimum of 8-10 years of experience in credit risk management within the financial services industry
  • Significant focus on unsecured lending
  • Proven experience in a leadership or team management role
  • Extensive experience in developing, testing, optimizing, and implementing credit strategies
  • Advanced proficiency in statistical modeling, predictive analytics, machine learning techniques, and quantitative methods for credit risk
  • Strong understanding of data warehousing, SQL, and experience with large datasets
  • Deep understanding of credit lifecycle management (origination, account management, collections), PD/LGD/EAD modeling, stress testing, and regulatory requirements
  • Expertise in analytical tools such as SAS, R, Python, SQL, and data visualization tools
  • Excellent written and verbal communication skills
  • Strong influencing and negotiation skills

Nice to have:

  • Master's degree or MBA
  • Familiarity with data governance and quality frameworks
  • Knowledge of regulatory requirements (e.g., Basel, CECL/IFRS 9)
What we offer:
  • Extensive on-the-job training and exposure to senior leaders
  • Traditional learning opportunities
  • Chance to give back and make a positive impact through volunteerism
  • Resources to meet unique needs
  • Empowerment to make healthy decisions
  • Support for managing financial well-being and planning for future

Additional Information:

Job Posted:
October 03, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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