Senior Data Scientist (Pricing Strategist)

Only Apply If

• **You're an immediate Joiner**
• **And are based in KSA / Riyadh (are a citizen)**
• **Or have a transferrable Iqama**
• Domain: Retail & Corporate Banking – Pricing & Analytics

Role Overview

Pricing Analytics & Modeling

• Develop statistical and machine learning models, Bayesian models for loan, deposit, and fee pricing.
• Conduct elasticity analysis, demand forecasting, and scenario simulations (Monte-Carlo simulations) for banking products.
• Build dynamic pricing frameworks aligned with Sharia‑compliant banking principles.
• Establish best practices for experimentation, model validation, and deployment.

Business Strategy Alignment

• Partner with product, risk, and finance teams to align pricing with profitability and customer value.
• Provide board‑level insights on revenue impact, margin optimization, and competitive positioning.
• Support regulatory reporting with transparent, auditable pricing models.

Data Infrastructure & Governance

• Define data pipelines across core banking systems, CRM, and BI platforms.
• Ensure compliance with

SAMA (Saudi Central Bank)

• regulations and data governance standards.
• Collaborate with engineering teams to embed pricing models into production systems.

Market & Competitive Intelligence

• Benchmark pricing against regional and global banks.
• Monitor macroeconomic indicators (oil prices, interest rates, inflation) impacting pricing strategy.
• Track customer behavior and digital adoption trends in Middle East banking.

Required Qualifications

• Master’s/PhD in Data Science, Statistics, Economics, or related field.
• 8–20 years of experience in data science, with at least 5 years in
• financial services pricing strategy
• .
• Strong expertise in:
• 1.
• Regression, Bayesian models, ML Models, survival models, clustering, time‑series forecasting, optimization techniques like Linear & quadratic programming, Dynamic programming models, Sotchastic modelling etc.
• 2.
• Hands on Simulation, price elasticity optimization, Monte Carlo simulations etc. along with stress testing experience.
• 3.
• Machine learning frameworks (Python, R, TensorFlow, PyTorch).
• 4.
• Strong knowledge of Statistics and advanced statistical modelling

5. SAS Proficiency

• 6.
• Do not Apply if you have not worked in SAS for analytics as it’s a must constraint.
• 7.
• SQL and cloud data warehouses (Snowflake, BigQuery, Azure Synapse).
• Proven track record of delivering measurable pricing impact in banking or financial services.
• Excellent communication skills for executive‑level presentations in Arabic and English.

Preferred Skills

• Experience in
• Middle East banking markets
• .
• Familiarity with
• Sharia‑compliant financial products
• .
• Knowledge of
• SAMA regulatory frameworks
• .
• Exposure to

QlikSense, Power BI, or Tableau