Credit Risk Modeling Analyst Job Vacancy in Luanda, Angola – Banking & Finance

Job Description

Position: Credit Risk Modeling Analyst

Company: Banco de Fomento Angola

Location: Luanda, Angola

Experience: 5+ years in credit risk analytics, statistical modeling, and financial data analysis

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

Employment Type: Full-time

Industry: Banking & Finance

Department: Risk Management

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

Vacancies:1

Company Overview

Banco de Fomento Angola is a leading financial institution dedicated to fostering economic growth and development across Angola. With a robust portfolio of corporate, retail, and investment banking services, the bank plays a pivotal role in supporting businesses, entrepreneurs, and individuals. As part of its strategic vision, the bank emphasizes innovative risk management practices, digital transformation, and sustainable finance. Joining Banco de Fomento Angola means becoming part of a dynamic team that values integrity, collaboration, and continuous improvement, offering unparalleled career pathways for professionals seeking to make a meaningful impact in the Angolan financial sector.

Job Overview

The Credit Risk Modeling Analyst will be responsible for designing, developing, and maintaining advanced credit risk models that support the bank’s lending decisions, portfolio monitoring, and regulatory reporting. This role collaborates closely with the Risk Management, Credit, and Data Science teams to ensure models are accurate, compliant, and aligned with the bank’s strategic objectives. The analyst will also contribute to the bank’s thought leadership in risk analytics, leveraging cutting‑edge statistical techniques and machine learning to enhance predictive power. For more information about the organization and its commitment to excellence, visit the Angola Jobs portal.

Key Responsibilities

• Develop, validate, and implement credit risk scorecards, probability of default (PD) models, and loss given default (LGD) models.
• Perform rigorous back‑testing, stress testing, and model performance monitoring to ensure ongoing accuracy.
• Collaborate with credit officers to translate model outputs into actionable lending decisions.
• Prepare comprehensive documentation, model governance reports, and regulatory submissions in line with Basel III and local banking regulations.
• Analyze large datasets using SQL, Python, or R to extract insights and improve model robustness.
• Present model findings and recommendations to senior management and risk committees.
• Stay abreast of emerging risk modeling methodologies, industry best practices, and regulatory changes.

Required Skills

• Strong proficiency in statistical programming languages such as Python, R, or SAS.
• Expertise in credit risk concepts, Basel III, and local regulatory frameworks.
• Advanced knowledge of SQL and data manipulation techniques.
• Experience with machine learning algorithms and their application to credit risk.
• Excellent analytical, problem‑solving, and quantitative skills.
• Effective communication skills for presenting complex model results to non‑technical stakeholders.
• Ability to work independently and as part of cross‑functional teams.

Education

A Master’s degree in Finance, Economics, Statistics, Mathematics, or a related quantitative discipline is required. Professional certifications such as FRM, CFA, or PRM are considered an advantage.

Experience

Minimum of five years of hands‑on experience in credit risk modeling, preferably within a banking or financial services environment. Demonstrated track record of developing production‑grade models that have been deployed for credit decisioning.

Salary

The compensation package ranges from SSP 2,500,000 to SSP 4,000,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and incentives are also part of the total rewards structure.

Benefits

• Comprehensive health and life insurance coverage.
• Retirement savings plan with employer contributions.
• Paid annual leave, sick leave, and public holidays.
• Transportation allowance and meal vouchers.
• Employee assistance program and wellness initiatives.

Training

• Continuous professional development through internal workshops and external certifications.
• Access to e‑learning platforms for advanced analytics and risk management.
• Mentorship program pairing analysts with senior risk leaders.

Working Environment

Banco de Fomento Angola offers a collaborative, inclusive, and technology‑driven workplace located in the heart of Luanda’s financial district. The office environment promotes knowledge sharing, innovation, and a healthy work‑life balance, with modern facilities and flexible working arrangements where applicable.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online application 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.

Equal Opportunity Statement

Banco de Fomento Angola 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, or sexual orientation.