Credit Modeling Analyst

Hugo Bank; Karachi Division; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

Hugo Bank in Karachi Division is seeking a Credit Modeling Analyst to develop, implement, and validate statistical models for credit risk assessment in Consumer & Program Lending portfolios.

The role involves supporting the credit risk team by building data-driven models for credit scoring and ensuring model integrity through back-testing. Candidates should have 1-3 years of relevant experience and a master’s degree in statistics, mathematics, or a related field.

Qualifications

• 1–3 years of experience in credit modeling or similar roles in banking.
• Master’s degree in a relevant field preferred.
• Strong leadership and interpersonal skills.

Responsibilities

• Develop and implement statistical and mathematical credit models.
• Ensure accurate representation of credit risk parameters.
• Conduct regular model back-testing for performance assessment.

Skills

Credit modeling

Data analysis

Interpersonal skills

Leadership

Education

Master’s degree in statistics, mathematics, econometrics

Job description

Credit Modeling Analyst will develop, implement, and validate statistical and mathematical models to support credit risk assessment and decision-making across Consumer & Program Lending portfolios.

Credit Modeling Analyst will support the Head of Credit Risk, Merchant & Program Lending in building robust, data-driven models for credit scoring, risk measurement, and portfolio performance forecasting, ensuring model integrity through regular back‑testing and validation.

Core Responsibilities

• Develop and implement statistical and mathematical credit models.
• Identify, define, and calculate independent and dependent variables for model building and ensure accurate representation of credit risk parameters.
• Collect, handle, cleanse, and prepare data from multiple internal and external sources for modeling purposes.
• Ensure data integrity and accuracy throughout the data pipeline from extraction to model input by implementing effective data quality checks and cleansing procedures.
• Maintain model documentation including data dictionaries, variable definitions, and transformation logic.
• Conduct regular model back‑testing to assess model performance, stability, and predictive accuracy over time.

Qualifications

• 1–3 years experience in the credit modeling, risk modeling or similar role within the banking or financial services industry.
• Minimum master’s degree preferably in statistics, mathematics, econometrics or any relevant major.
• Leadership skills.
• Good interpersonal skills.