HalaPrivate

Credit Risk Modelling Data Scientist

Hala

Full-timeRiyadhSA

Job details

HALA, a leading fintech company in the MENAP region, is seeking a Credit Risk Modelling Data Scientist for its Data & Business Intelligence team in Riyadh, Saudi Arabia. This full-time role at Hala Financing focuses on developing credit engines, risk models, and portfolio monitoring capabilities to predict default probability, improve credit decisioning, and enhance risk segmentation for SME lending. Candidates should possess a Bachelor’s degree in a quantitative field (Master’s preferred) and 3-6 years of experience in actuarial analytics, credit risk, or financial modelling, along with strong Python, SQL, and machine learning skills. Key responsibilities include building risk models, monitoring portfolio performance, applying data science techniques, and collaborating with various business teams. HALA offers a competitive compensation package, personal development opportunities, and a diverse, inclusive work environment.

Advertised position

Credit Risk Modelling Data Scientist

Qualification: Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, Engineering, Finance, or a related quantitative field; Master’s degree preferred.
Experience: 3–6 years of experience in actuarial analytics, credit risk, lending analytics, banking, fintech, insurance, or financial modelling.

Job overview

Source

Hala

Qualification

Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, Engineering, Finance, or a related quantitative field; Master’s degree preferred.

Type

Full-time

Location

Riyadh

Listed

20d ago

How to apply

  1. 1Complete the online application form.
  2. 2Provide personal details including First Name, Last Name, Email, Phone, and Country.
  3. 3Attach your Resume/CV or enter details manually.
  4. 4Optionally attach a Cover Letter, LinkedIn Profile, and Website.
  5. 5Answer all required screening questions regarding salary, nationality, residency, experience, leadership positions, and knowledge about Hala.

Rules & eligibility

  • Strong understanding of probability of default, credit scoring, portfolio risk, delinquency, loss forecasting, and cohort/vintage analysis.
  • Strong skills in Python and SQL.
  • Experience with statistical modelling, machine learning, regression, classification models, decision trees, gradient boosting, model validation, and performance monitoring.
  • Ability to translate complex analytical findings into simple business recommendations.
  • Strong communication skills and ability to work with both technical and non-technical stakeholders.

Details extracted automatically from the official advertisement — always verify against the original ad before applying.

Share this job

Know someone who fits this role? Send it their way.

Ready to apply?

Apply on your own with our free step-by-step guide, or let us handle the application for you. Double-check the advertisement and requirements first.

Similar jobs

Other recent listings from Hala.