Risk Data Scientist

PayTech Group

JOB TITLE: Risk Data Scientist

TERM: 6 months

CLIENT LOCATION: SNB Jeddah head office, Al-Baghdadiyah Al-Gharbiyah, 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

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 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
• Self-organizing, independent and takes ownership of each task
• Meticulous to detail
• Thrive under pressure
• Collaborate with MC global teams

KPIs:

• Business outcome cross-sell, credit policy recommendations, credit limit optimization
• Model development model accuracy, stability, documentation
• Model deployment Co-ordinate 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 cross-functional 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)