Our client a Global Payments Firm is currently engaged in a project with a leading bank in Saudi Arabia. To support with this, our client is looking to onboard someone in the capacity of a Risk Data Scientist.

Core Responsibilities and Accountabilities 

Non-technical:

1. Strong communication skills and ability to present findings to client stakeholders
2. Experience in Financial Services, Banking & card payments Industry is a plus
3. Collaborate with cross-functional teams to understand business requirements 
4. Document all steps in the development process 

Technical:

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

Cultural Fit:

1. Owning the outcome (ownership) 
2. Being driven/passionate in analytics 
3. Problem solving mindset, challenging the status quo 
4. Self-organizing, independent and takes ownership of each task
5. Meticulous to detail 
6. Thrives under pressure
7. Collaborative approach

KPIs

1. Business outcome – cross-sell, credit policy recommendations, credit limit optimization 
2. Model development – model accuracy, stability, documentation 
3. Model deployment – Co-ordinate with client teams for fast and smooth model deployment  
4. Proactiveness in responding to business needs
5. Stakeholder Satisfaction - The level of satisfaction of stakeholders with the model, reports and insights 
6. Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted. 
7. Data Security Compliance: Compliance with data security protocols and regulations

Knowledge and Experience

1. 3 years + in a similar role, ideally with financial services
2. Valid Iqama in Saudi is a must 
3. Good knowledge of data wrangling – SQL, SAS, Python, R 
4. Proficiency in SAS programming language (SAS 9.4)/ Python/ R  
5. Prior model development experience – Logistic regression, Decision Tree, XGBoost, Random Forest is a plus
6.  Strong communication skills and ability to present findings to senior stakeholders (non technical)

This is a 6 months contractual role based in Jeddah, KSA.