Senior Quantitative Credit Analyst - Fintech (KSA)

at  Stryber

ABOUT US:

Sanabil Venture Studio, a partnership between Sanabil Investments and Stryber, merges top-tier talent, seasoned founders, and robust funding to propel startups to unicorn status. Leveraging a blend of industry, technology, and startup expertise, we generate and evaluate visionary ideas, and take them from idea to building and launching MVPs. If an MVP we build proves to be successful, we provide targeted seed funding, ensuring each venture is equipped with the financial foundation to meet its ambitious goals. Beyond early stage development and funding, we provide ongoing support to our portfolio ventures and founders in their pursuit of scaling their startups.

QUALIFICATIONS:

Education: Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
Experience: Minimum of 5+ years of experience in credit risk modeling or quantitative analysis within the financial services or fintech industry.
Technical Skills: Proficiency in statistical and programming languages such as Python, R, or SAS. Experience with data visualization tools and databases is a plus.
Analytical Skills: Strong analytical and problem-solving abilities, with a keen attention to detail.
Communication: Excellent verbal and written communication skills, with the ability to convey complex information clearly to both technical and non-technical stakeholders.
Regulatory Knowledge: Familiarity with Saudi Arabian financial regulations and the fintech landscape is highly desirable.

PREFERRED QUALIFICATIONS:

Certifications: Professional certifications such as CFA, FRM, or PRM are advantageous.
Industry Knowledge: Understanding of the fintech ecosystem and emerging trends in digital lending and credit assessment.

ABOUT THE ROLE:

We are seeking a skilled Quantitative Credit Analyst to join our dynamic team. The successful candidate will be responsible for developing and implementing quantitative models to assess and manage credit risk, ensuring the robustness and scalability of our credit products. This role requires a deep understanding of credit risk modeling, data analysis, and the fintech landscape in Saudi Arabia.

KEY RESPONSIBILITIES:

Credit Risk Modeling: Develop, validate, and maintain quantitative models for credit risk assessment, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models.
Data Analysis: Analyze large datasets to identify trends, patterns, and insights that inform credit decision-making processes.
Model Implementation: Collaborate with software developers to integrate credit risk models into the company’s platforms, ensuring seamless functionality and performance.
Risk Assessment: Conduct thorough analyses of credit applications, evaluating the creditworthiness of potential clients and making data-driven recommendations.
Regulatory Compliance: Ensure all credit risk models and processes comply with local regulatory requirements and industry best practices.
Reporting: Prepare detailed reports and presentations on credit risk assessments, model performance, and portfolio analytics for stakeholders and senior management.