Risk Data Scientist

JOB TITLE: Risk Data Scientist

TERM: 6 months

CLIENT LOCATION: SNB Jeddah head office AlBaghdadiyah AlGharbiyah Jeddah 22233 Saudi Arabia

RELEVANT EXPERIENCE: 3 years (with valid Saudi Iqama)

MANDATORY REQUIREMENTS:

• Experience in SAS programming language (SAS 9.4/ any other programming language Python/ R
• Prior model development experience Logistic regression Decision Tree XGBoost Random Forest is a plus

PURPOSE OF JOB

Risk Data Scientist

TASKS

Core Responsibilities and Accountabilities

Nontechnical

• Strong communication skills and ability to present findings to client stakeholders
• Experience in Financial Services Banking & card payments Industry is a plus
• Collaborate with crossfunctional teams to understand business requirements
• Document all steps in the development process

Technical

• Experience in SAS programming language (SAS 9.4/ any other programming language Python/ R
• Prior predictive model development experience Logistic regression Decision Tree XGBoost Random Forest is a plus
• Extract data from client source systems data quality checks for model development
• Identify opportunities to innovatively use data/ extract insights from complex data sets
• Identify credit policy recommendations analyzing complex data sets

Cultural Fit

• Owning the outcome (ownership)
• Being driven/passionate in analytics
• Problem solving mindset challenging the status quo
• Selforganizing independent and takes ownership of each task
• Meticulous to detail
• Thrive under pressure
• Collaborate with MC global teams

KPIs:

• Business outcome crosssell credit policy recommendations credit limit optimization
• Model development model accuracy stability documentation
• Model deployment Coordinate with client teams for fast and smooth model deployment
• Proactiveness in responding to business needs
• Stakeholder Satisfaction The level of satisfaction of stakeholders with the model reports and insights provided.
• Collaboration Effectiveness The effectiveness of collaboration with crossfunctional teams measured via model accuracy stability and time to deploy.
• Data Security Compliance Compliance with data security protocols and regulations.

Knowledge & Experience:

• 3years in a similar role ideally with financial services
• Valid Iqama in Saudi is a must
• Good knowledge of data wrangling SQL SAS Python R
• Proficiency in SAS programming language (SAS 9.4/ Python/ R
• Prior model development experience Logistic regression Decision Tree XGBoost Random Forest is a plus
• Strong communication skills and ability to present findings to senior stakeholders (non technical)