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Risk Data Scientist

Risk Data Scientist

PayTech GroupJeddah, Makkah Region, Saudi Arabia
منذ أكثر من 30 يومًا
الوصف الوظيفي

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

  • Strong 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
  • Technical

  • 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
  • Cultural Fit

  • Ownership mentality
  • Problem-solving mindset, challenging the status quo
  • Self-organizing, independent, and takes ownership of tasks
  • Collaborate with MC global teams
  • KPIs :

  • 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
  • Knowledge & Experience :

  • 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)
  • Disclaimer : Naukrigulf.com is a platform connecting jobseekers and employers. Applicants should verify the legitimacy of prospective employers independently. We do NOT endorse requests for money payments or sharing personal / bank details. For security advice, visit our website. Report any fraud or malpractice to

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