Senior Business & Credit Risk Analyst
Titre d'origine : Senior Business & Credit Risk Analyst Job Vacancy at Selcom Microfinance Bank Tanzania – Dar es Salaam, October 2026
Selcom Microfinance Bank Tanzania Tanzanie
- Lieu
- Tanzanie
- Clôture
- Non renseigné
- Publiée le
- 21 octobre 2026
- Zone
- Poste en Afrique — Lieu indiqué : Tanzanie
Compte gratuit : « Candidater » prépare votre CV et votre lettre pour cette offre ; vous envoyez ensuite vous-même votre candidature. Vous pouvez aussi postuler directement depuis l'annonce d'origine.
Description
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 Title: Senior Business & Credit Risk Analyst
Organisation: Selcom Microfinance Bank Tanzania
Department: Risk and Compliance
Location: Head Office, Dar es Salaam, Tanzania
Minimum Experience: 3 years of relevant risk experience
Application Deadline: 29 October 2026
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
Applicants should meet the following requirements:
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.
How to Apply
Interested and qualified candidates should submit their application letter and CV via email to:
Email: career@selcom.bank
Email Subject: Application for Senior Business & Credit Risk Analyst
Application Deadline: 29 October 2026
Applicants are encouraged to submit their applications before the deadline. Only candidates who meet the bank’s requirements are likely to be considered for further assessment.
Modalités de candidature
How to Apply
Interested and qualified candidates should submit their application letter and CV via email to:
Email: career@selcom.bank
Email Subject: Application for Senior Business & Credit Risk Analyst
Application Deadline: 29 October 2026
Applicants are encouraged to submit their applications before the deadline. Only candidates who meet the bank’s requirements are likely to be considered for further assessment.
Adresse de candidature : career@selcom.bank
Connectez-vous pour ajouter cette offre à vos sélections, puis suivre votre candidature.
Où se trouve le poste
lieu indiqué par la source : Dar es salaam
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Provenance
vue sur le site d'origine le 11 novembre 2026 à 03:02 (heure de Paris)
Nous vérifions régulièrement que l'offre y est toujours publiée.
Informations non fournies par la source
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