Credit Risk Modeling Analyst Job Vacancy in Garbahaareey, Somalia – Banking & Financial Services

Job Description

Position: Credit Risk Modeling Analyst

Company: Mastercard

Location: Garbahaareey, Somalia

Experience: 3-5 years

Education: Bachelor’s degree in Finance, Economics, Statistics or related field; Master’s preferred

Employment Type: Full-time

Industry: Banking & Financial Services

Department: Credit Risk Management

Salary: SSP 2,500,000 – SSP 4,000,000 per month

Vacancies:1

Company Overview

Mastercard is a global technology company in the payments industry, connecting consumers, financial institutions, merchants, governments and businesses worldwide. With a strong commitment to financial inclusion, Mastercard has expanded its operations across Africa, supporting innovative digital payment solutions that empower economies and improve lives. In Somalia, Mastercard collaborates with local banks, fintech startups and regulatory bodies to promote secure, efficient, and accessible financial services. The company’s presence in Somalia aligns with its mission to drive inclusive growth, making it an attractive employer for professionals seeking to make a meaningful impact in the region’s financial ecosystem.

As part of Mastercard’s regional strategy, the Garbahaareey office serves as a hub for credit risk analytics, supporting multiple partner banks and micro‑finance institutions. The team works closely with product development, compliance, and data science units to deliver robust risk models that enable responsible lending while fostering financial inclusion. Mastercard’s culture emphasizes innovation, continuous learning, and a collaborative environment where diverse perspectives are valued.

Job Overview

The Credit Risk Modeling Analyst will play a pivotal role in designing, developing, and validating statistical models that assess credit risk for Mastercard’s partner institutions in Somalia. This position offers a unique opportunity to influence credit policies, improve risk assessment accuracy, and contribute to the expansion of digital financial services across the country. The analyst will work within a multidisciplinary team, leveraging advanced analytics, machine learning techniques, and domain expertise to deliver actionable insights that support strategic decision‑making.

Mastercard’s commitment to career development means the successful candidate will have access to global training resources, mentorship programs, and the chance to work on high‑impact projects that shape the future of finance in Somalia. This role is ideal for professionals who are passionate about data‑driven risk management and eager to drive positive change in emerging markets.

https://somaliajobsearch.com

Key Responsibilities

• Develop, calibrate, and validate credit scoring models using statistical and machine learning techniques.
• Analyze large datasets from partner banks, fintech platforms, and alternative data sources to identify risk patterns.
• Collaborate with credit policy teams to translate model outputs into actionable lending guidelines.
• Monitor model performance, conduct back‑testing, and implement model enhancements as needed.
• Prepare detailed documentation, model governance reports, and regulatory compliance submissions.
• Present findings and recommendations to senior management and external stakeholders.

Required Skills

• Proficiency in statistical software such as R, Python, SAS, or Stata.
• Strong understanding of credit risk concepts, Basel III/IV frameworks, and financial regulations.
• Experience with data preprocessing, feature engineering, and model validation techniques.
• Excellent analytical and problem‑solving abilities with a data‑centric mindset.
• Effective communication skills for presenting complex analyses to non‑technical audiences.
• Ability to work independently and collaboratively in a fast‑paced environment.

Education

A bachelor’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related discipline is required. A master’s degree or professional certifications such as FRM, CFA, or PRM are highly desirable and will be considered an advantage during the selection process.

Experience

The ideal candidate will have 3‑5 years of hands‑on experience in credit risk modeling, preferably within banking, fintech, or financial services organizations. Experience working with emerging market data, alternative credit data, or micro‑finance institutions is a strong plus.

Salary

Mastercard offers a competitive salary range of SSP 2,500,000 to SSP 4,000,000 per month, commensurate with experience and qualifications. The compensation package includes performance‑based bonuses and benefits aligned with Mastercard’s global standards.

Benefits

• Comprehensive health insurance covering medical, dental, and vision.
• Retirement savings plan with employer contributions.
• Generous paid time off and public holidays.
• Professional development budget and access to Mastercard’s global learning platforms.
• Employee assistance program and wellness initiatives.

Training

• Onboarding program covering Mastercard’s risk framework, compliance standards, and regional market dynamics.
• Advanced analytics workshops and certifications in machine learning, data science, and credit risk.
• Mentorship from senior risk analysts and access to cross‑functional project teams.

Working Environment

Mastercard’s Garbahaareey office provides a modern, collaborative workspace equipped with state‑of‑the‑art technology and secure data infrastructure. The company promotes a culture of inclusion, encouraging diverse perspectives and continuous innovation. Employees enjoy flexible working arrangements, with options for remote work when appropriate, fostering a healthy work‑life balance.

Application Process

Interested candidates should submit their application through Mastercard’s online career portal. The selection process includes an initial resume review, a technical assessment, and two interview rounds (one technical, one behavioral). Successful applicants will be notified within four weeks of submission.

https://www.cameroonjobsearch.com/

Equal Opportunity Statement

Mastercard is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.