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Senior Data Analyst

Qarar
Riyadh, KSA
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Data analysisCredit risk modelingStatistical modelingApplication scorecardsBehavioral scorecardsIRB regulatory models
Free

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Data analysisCredit risk modelingStatistical modeling
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Company Description

Qarar is a data science and advanced analytics company serving financial institutions and FinTechs across the Middle East, South Asia, and North Africa.

The company provides decision analytics, consulting, advisory, and software technology for credit risk, portfolio performance, collections, compliance, and cross-sell opportunities.

Role Description

The Senior Data Analyst is a full-time, on-site role based in Riyadh.

The role delivers analytics supporting data-driven decisions for financial institutions and FinTech clients.

Core Responsibilities

  • Collect, clean, and analyze large datasets; build and validate statistical and data models.
  • Generate insights for credit-risk assessment, portfolio management, and operational performance.
  • Design dashboards and reports, communicate findings, and collaborate with consultants, product teams, and client leads.
  • Translate business requirements into analytical frameworks and conduct exploratory and predictive analyses.
  • Ensure data quality, accuracy, and compliance with relevant standards.
  • Contribute to methodology improvement, mentor junior analysts, and support decision analytics and digital transformation initiatives.

Qualifications

  • Have 5-10 years of experience in end-to-end development, validation, and monitoring of credit-risk models.
  • Develop application and behavioral scorecards.
  • Build and maintain IRB models covering PD, LGD, and EAD, plus IFRS 9 ECL models.
  • Ensure compliance with Basel guidelines and internal governance standards.
  • Perform data extraction, exploratory analysis, feature engineering, segmentation, and data-quality checks using SQL and Python.
  • Deploy and automate models using Python, SAS, or R with production-ready pipelines.
  • Collaborate with business, risk, IT, and compliance stakeholders and translate outputs into business decisions.

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