Senior Data Analyst

Company Description Qarar is a leading data science and advanced analytics company specializing in data-driven decisioning solutions for financial institutions and FinTechs. Headquartered in Saudi Arabia, Qarar supports clients across the Middle East, South Asia, and North Africa with localized insights tailored to regional market needs. The company focuses on decision analytics, combining consulting, advisory, and software technology to build customized solutions that enable automation and digital transformation. Qarar’s team helps clients optimize credit risk management, portfolio performance, collections, compliance, and cross-sell opportunities through advanced data models. With deep domain expertise and strategic partnerships in fintech and SME lending, Qarar empowers organizations to become fully data-driven and achieve sustainable growth.

Role Description The Senior Data Analyst is a full-time, on-site role based in Riyadh, responsible for delivering high-impact analytics to support data-driven decisions for financial institutions and FinTech clients. The role involves collecting, cleaning, and analyzing large datasets, building and validating statistical and data models, and generating actionable insights that improve credit risk assessment, portfolio management, and operational performance. The Senior Data Analyst will design dashboards and reports, communicate findings to stakeholders, and collaborate with consultants, product teams, and client leads to shape data solutions aligned with business objectives. Day-to-day tasks include translating business requirements into analytical frameworks, conducting exploratory and predictive analyses, and ensuring data quality, accuracy, and compliance with relevant standards. The role also contributes to continuous improvement of methodologies, mentoring junior analysts, and supporting Qarar’s decision analytics and digital transformation initiatives.

Qualifications

• Experienced professional with 5-10 years .. responsible for end-to-end development, validation, and monitoring of credit risk models.

• Develop application and behavioral scorecards.

• Build and maintain regulatory models under IRB (PD, LGD, EAD) and IFRS 9 (ECL framework).

• Ensure compliance with Basel guidelines and internal governance standards.

• Perform data extraction, EDA, 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 to drive model implementation.

• Present insights and translate analytical outputs into actionable business decisions.