About Selcom Microfinance Bank Tanzania

Selcom Microfinance Bank Tanzania provides financial services with a growing focus on digital banking. The bank is strengthening its Risk and Compliance team as it expands its digital lending capabilities and enhances data-driven credit risk management.

The bank is inviting applications from confident, self-motivated, and analytical professionals to fill the position of Senior Business & Credit Risk Analyst at its Head Office in Dar es Salaam.

Job Purpose

The Senior Business & Credit Risk Analyst will lead analytics, credit risk modelling, and model validation activities supporting the bank’s digital lending operations.

Reporting to the Chief Risk Officer, the successful candidate will contribute to the development and improvement of credit risk management frameworks as the bank advances its digital banking strategy.

The ideal candidate should have strong capabilities in data analytics, credit modelling, digital credit scoring, and model validation.

Key Requirements and Qualifications

Education

A bachelor’s degree in any of the following fields:

• Finance
• Accounting
• Business Administration
• Statistics
• Economics
• Data Science
• Actuarial Science
• Mathematics
• Another relevant quantitative field.

Professional Experience

At least three years of functional risk experience in one or a combination of the following areas:

• Credit risk management.
• Credit scoring.
• Credit business.
• Data analytics.

Additional Advantages

• A recognised certification in risk management, data analytics, or data science.
• Change management experience.
• Good business experience.

Preferred Skills and Competencies

Candidates with strong skills and experience in the following areas will be preferred:

• Data analytics and quantitative risk analysis.
• Credit risk modelling and model validation.
• Digital credit scoring and lending analytics.
• Data-driven credit risk management.
• Analytical problem-solving and business decision support.

• Lead analytics, credit risk modelling, and model validation activities supporting the bank’s digital lending operations.
• Contribute to the development and improvement of credit risk management frameworks as the bank advances its digital banking strategy.

• Data analytics
• Credit modelling
• Digital credit scoring
• Model validation
• Quantitative risk analysis
• Credit risk modelling
• Model validation
• Digital credit scoring
• Lending analytics
• Data-driven credit risk management
• Analytical problem-solving
• Business decision support

• Bachelor’s degree in Finance, Accounting, Business Administration, Statistics, Economics, Data Science, Actuarial Science, Mathematics, or another relevant quantitative field.
• At least three years of functional risk experience in credit risk management, credit scoring, credit business, or data analytics.
• Recognised certification in risk management, data analytics, or data science (advantageous).
• Change management experience (advantageous).
• Good business experience (advantageous).