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Risk Data Scientist
PayTech GroupJeddah, Makkah Region, Saudi Arabia30+ days ago
Job descriptionStrong communication skills and ability to present findings to client stakeholders Experience in Financial Services, Banking, & Card Payments Industry is a plus Collaborate with cross-functional teams to understand business requirements Document all steps in the development process Experience in SAS (SAS 9.4) or other programming languages such as Python / R Prior predictive model development experience with Logistic Regression, Decision Tree, XGBoost, Random Forest is a plus Extract data from client source systems and perform data quality checks for model development Identify opportunities to innovatively use data and extract insights from complex data sets Identify credit policy recommendations through analysis of complex data sets Ownership mentality Problem-solving mindset, challenging the status quo Self-organizing, independent, and takes ownership of tasks Collaborate with MC global teams Business outcomes such as cross-sell, credit policy recommendations, credit limit optimization Coordinate with client teams for fast and smooth model deployment Proactiveness in responding to business needs Stakeholder Satisfaction - satisfaction level with models, reports, and insights Collaboration Effectiveness - measured via model accuracy, stability, and deployment time Data Security Compliance - adherence to data security protocols and regulations 3+ years in a similar role, ideally within financial services Valid Iqama in Saudi Arabia is mandatory Good knowledge of data wrangling with SQL, SAS, Python, R Proficiency in SAS 9.4, Python, or R Prior model development experience with Logistic Regression, Decision Tree, XGBoost, Random Forest is a plus Strong communication skills, capable of presenting to senior stakeholders (non-technical)
RELEVANT EXPERIENCE : 3 years+ (with valid Saudi Iqama)
MANDATORY REQUIREMENTS :
- Experience in SAS programming language (SAS 9.4) or other programming languages such as Python or R
- Prior model development experience, including Logistic Regression, Decision Tree, XGBoost, and Random Forest, is a plus
PURPOSE OF JOB
TASKS
Core Responsibilities and Accountabilities
Non-technical
Technical
Cultural Fit
KPIs :
Knowledge & Experience :
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Data Scientist • Jeddah, Makkah Region, Saudi Arabia
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