Risk Data Scientist

PayTech Group; Jeddah; On-site; SAR 40,000 - 80,000; Full time

Job summary

An innovative firm is seeking a skilled data analyst with expertise in SAS programming and predictive modeling. In this role, you will leverage your analytical skills to develop and deploy models that drive business outcomes in the financial services sector. Your ability to communicate insights effectively to stakeholders will be crucial in optimizing credit policies and enhancing client satisfaction. This position offers an exciting opportunity to work with cross-functional teams and contribute to impactful projects that challenge the status quo. If you're passionate about data and eager to make a difference, this role is perfect for you.

Qualifications

• 3+ years in a similar role, ideally within financial services.
• Experience in SAS programming and model development is essential.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements.
• Extract data from client source systems and perform data quality checks.

Skills

SAS Programming

Python

R

Logistic Regression

Decision Tree

XGBoost

Random Forest

Data Wrangling with SQL

Job description

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)

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