Credit Risk Modeling Specialist Job Vacancy in Lichinga, Mozambique – Banking & Financial Services

Job Description

Position: Credit Risk Modeling Specialist

Company: Standard Chartered Bank Mozambique

Location: Lichinga, Mozambique

Experience: 5+ years in credit risk modeling, preferably in emerging markets

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

Employment Type: Full-time

Industry: Banking & Financial Services

Department: Risk Management

Salary: SSP 250,000 – SSP 350,000 per month

Vacancies:1

Company Overview

Standard Chartered Bank Mozambique is a leading international bank with a strong presence across Africa, committed to fostering sustainable economic growth and financial inclusion. With a legacy spanning over 150 years, the bank offers a dynamic environment where innovation meets responsible banking. Operating in Mozambique since the early 1990s, the Lichinga branch serves a diverse client base ranging from small enterprises to large corporations, providing tailored financial solutions that drive regional development. The bank’s culture emphasizes integrity, collaboration, and continuous learning, making it an attractive destination for professionals seeking impactful careers. As part of its strategic expansion, Standard Chartered is actively hiring top talent to strengthen its risk management capabilities, ensuring robust credit assessment and portfolio resilience.

Job Overview

The Credit Risk Modeling Specialist will play a pivotal role in designing, developing, and maintaining quantitative models that assess credit risk across the bank’s loan portfolio in Mozambique. Reporting to the Head of Credit Risk, the specialist will collaborate with data scientists, business analysts, and senior managers to translate complex data into actionable insights that support prudent lending decisions. This position is central to the bank’s commitment to sound risk governance and aligns with broader objectives of financial stability and growth. The role offers exposure to cutting‑edge analytics, regulatory frameworks, and cross‑functional projects, providing a platform for professional advancement within a globally recognized institution. For more information about our corporate values and career pathways, visit our main website https://mozambiquejobsearch.com.

Key Responsibilities

• Develop and validate credit risk models using statistical and machine‑learning techniques to predict default probabilities.
• Perform data extraction, cleaning, and transformation from internal and external sources, ensuring data quality and integrity.
• Collaborate with business units to understand product‑specific risk drivers and incorporate them into model frameworks.
• Conduct stress testing and scenario analysis to evaluate model performance under adverse economic conditions.
• Prepare comprehensive documentation, model governance reports, and regulatory submissions in line with Basel III and local banking regulations.
• Monitor model performance post‑implementation, recalibrating parameters as needed to maintain predictive accuracy.
• Present findings and recommendations to senior management and risk committees, translating technical results into strategic insights.

Required Skills

• Advanced proficiency in statistical software such as R, Python, SAS, or MATLAB.
• Strong understanding of credit risk concepts, Basel III, IFRS 9, and local regulatory requirements.
• Experience with SQL and data‑warehouse environments for large‑scale data manipulation.
• Excellent analytical thinking, problem‑solving abilities, and attention to detail.
• Effective communication skills to convey complex model outcomes to non‑technical stakeholders.
• Ability to work independently and as part of a multidisciplinary team in a fast‑paced environment.

Education

A Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative 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

Applicants must have a minimum of five years of hands‑on experience in credit risk modeling, preferably within a banking or financial services context. Experience in emerging markets, particularly in Sub‑Saharan Africa, is valued for its relevance to the local economic landscape.

Salary

The compensation package ranges from SSP 250,000 to SSP 350,000 per month, commensurate with experience and qualifications. The package includes performance‑based bonuses, health insurance, and a retirement savings plan.

Benefits

• Competitive salary with annual performance bonuses.
• Comprehensive health and dental coverage.
• Retirement savings scheme with employer contributions.
• Professional development allowance for certifications and training.
• Flexible working arrangements and paid parental leave.

Training

• On‑boarding program covering bank policies, risk frameworks, and compliance standards.
• Access to internal and external workshops on advanced analytics, machine learning, and regulatory updates.
• Mentorship from senior risk leaders to support career growth.

Working Environment

Located in the vibrant city of Lichinga, the role offers a modern office setting equipped with state‑of‑the‑art technology and collaborative spaces. The bank promotes a culture of inclusivity, encouraging diverse perspectives and continuous improvement. Employees benefit from a supportive leadership team that values work‑life balance and recognizes individual contributions.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining relevant experience through our online portal. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment. For additional resources on the application journey, please visit https://www.zambiajobssearch.com/.

Equal Opportunity Statement

Standard Chartered Bank Mozambique is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, sexual orientation, or any other protected characteristic.