Senior Quantitative Credit Analyst - Fintech (KSA)

Stryber; Saudi Arabia; On-site; SAR 200,000 - 300,000; Full time

Job summary

An innovative fintech company is seeking a Senior Quantitative Credit Analyst to develop and implement robust credit risk models. This role is pivotal in ensuring the scalability of credit products, requiring expertise in data analysis and a solid understanding of the fintech landscape in Saudi Arabia. The ideal candidate will thrive in a dynamic environment, leveraging their analytical skills to assess credit risk and contribute to the company's mission of providing personalized financial solutions. Join a forward-thinking team dedicated to transforming the lending industry and making a real impact on consumers often overlooked by traditional lenders.

Qualifications

• 5+ years of experience in credit risk modeling or quantitative analysis.
• Proficiency in statistical and programming languages.

Responsibilities

• Develop and maintain quantitative models for credit risk assessment.
• Analyze large datasets to inform credit decision-making.

Skills

Credit Risk Modeling

Data Analysis

Analytical Skills

Communication Skills

Education

Bachelor's or Master's degree in Finance

Degree in Economics, Statistics, or Mathematics

Tools

Python

R

SAS

Data Visualization Tools

Job description

Senior Quantitative Credit Analyst

Location: Riyadh, KSA

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.

About the Company:

We are a cutting-edge fintech company that leverages open banking data and a data-driven decision engine to offer quick, personalized micro-loans to consumers who are often overlooked by traditional lenders and priced out by specialised ones. By analysing real-time financial transactions and behavioural data, we provide faster approvals, flexible terms, and affordable credit, helping more people access the financing they need.

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:

1. 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.
2. Data Analysis: Analyze large datasets to identify trends, patterns, and insights that inform credit decision-making processes.
3. Model Implementation: Collaborate with software developers to integrate credit risk models into the company's platforms, ensuring seamless functionality and performance.
4. Risk Assessment: Conduct thorough analyses of credit applications, evaluating the creditworthiness of potential clients and making data-driven recommendations.
5. Regulatory Compliance: Ensure all credit risk models and processes comply with local regulatory requirements and industry best practices.
6. Reporting: Prepare detailed reports and presentations on credit risk assessments, model performance, and portfolio analytics for stakeholders and senior management.

Qualifications:

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

Preferred Qualifications:

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

Additional Information:

For us, conscious business is a top priority. We are a carbon neutral company with a science-based environmental strategy.

In addition to that, Stryber is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will be considered for employment without attention to race, religion, gender, sexual orientation, gender identity, national origin, veteran or disability status, or any other status protected by the laws or regulations in the locations in which we operate. Stryber will not tolerate discrimination or harassment based on any of these characteristics.