Risk Data Scientist

PayTech Nexus Ltd; Jeddah; On-site; SAR 80,000 - 100,000; Full time

Job summary

A leading company in the financial services sector is seeking a Risk Data Scientist to join their team in Jeddah. The ideal candidate will have extensive experience in SAS programming and predictive model development. Responsibilities include collaborating with stakeholders, conducting data analysis, and ensuring compliance with data security protocols. This role demands strong communication skills and a problem-solving mindset, making it perfect for a driven analytics professional looking to make an impact.

Qualifications

• 3+ years in a similar role, ideally with financial services.
• Valid Iqama in Saudi is a must.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements.
• Extract data from client source systems, perform data quality checks.
• Identify opportunities to innovate using data.

Skills

SAS programming

Python

R

Communication

Problem solving

Tools

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

RELEVANTEXPERIENCE:3 years +(with valid SaudiIqama)

MANDATORYREQUIREMENTS:

• 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)