Risk Data Scientist

PayTech Group; Saudi Arabia; On-site; SAR 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Risk Data Scientist to join their dynamic team. This role involves developing predictive models and extracting insights from complex datasets to inform credit policies. The ideal candidate will have a strong background in SAS, Python, or R, along with excellent communication skills to present findings to stakeholders. You will be part of a collaborative environment that values ownership and innovation, making a significant impact in the financial services sector. If you are passionate about analytics and thrive under pressure, this opportunity is for you.

Qualifications

• 3+ years of experience in data science, preferably in financial services.
• Proficiency in SAS, Python, or R for model development.

Responsibilities

• Develop predictive models and analyze complex datasets for credit policy.
• Collaborate with cross-functional teams and present findings to stakeholders.

Skills

SAS programming

Python

R

Logistic Regression

Decision Tree

XGBoost

Random Forest

Data wrangling with SQL

Strong communication skills

Education

Bachelor's degree in a relevant field

Tools

SAS 9.4

Python

R

SQL

Job description

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) or other programming languages such as Python or R
• Prior model development experience, including 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 (SAS 9.4), Python, or R programming languages
• 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 use data innovatively and extract insights from complex data sets
• Analyze complex data sets to identify credit policy recommendations

Cultural Fit

• Ownership mentality
• Passion for analytics
• Problem-solving mindset and challenging the status quo
• Self-organizing, independent, and responsible for tasks
• Meticulous attention to detail
• Ability to thrive under pressure
• Collaborate with MC global teams

KPIs:

• Business outcomes such as cross-sell, credit policy recommendations, credit limit optimization
• Model development metrics including accuracy, stability, and documentation
• Model deployment coordination for smooth implementation
• Proactiveness in addressing business needs
• Stakeholder satisfaction with models, reports, and insights
• Collaboration effectiveness measured via model performance and deployment speed
• Compliance with data security protocols and regulations

Knowledge & Experience:

• Over 3 years in a similar role, ideally in financial services
• Valid Iqama in Saudi Arabia is mandatory
• Strong knowledge of data wrangling with SQL, SAS, Python, R
• Proficiency in SAS (SAS 9.4), Python, or R
• Experience with model development using Logistic Regression, Decision Tree, XGBoost, Random Forest is a plus
• Excellent communication skills, capable of presenting to senior stakeholders (non-technical)