Job Overview

Senior Algorithmic Risk Intelligence & Digital Credit Modeling Specialist – Bahrain

Role Type: Senior / Full-Time / Remote

Regional Scope: Kingdom of Bahrain – Digital Credit, Risk Intelligence, Predictive Financial Modeling

Role Overview

This senior specialist position designs and deploys advanced algorithmic models that enhance digital credit intelligence and dynamic risk scoring across Bahrain’s financial technology landscape. The role focuses on high-granularity behavioral modeling, multi-variable credit risk simulation, and automated decision frameworks aligned with emerging digital lending and financial inclusion strategies. The specialist will produce enterprise-grade models supporting customer assessment, portfolio forecasting, and real-time risk calibration.

Key Responsibilities

• Develop multi-dimensional credit risk models incorporating behavioral data, transaction flows, income signals, and identity-based attributes.

• Build predictive intelligence engines that evaluate repayment probability, exposure at default, and risk-weighted scoring matrices.

• Engineer automated credit decision engines integrating regulatory thresholds, risk triggers, and portfolio optimization logic.

• Conduct stress-testing simulations, scenario analysis, and macro-sensitivity modelling for early-warning detection.

• Enhance digital lending workflows by integrating AI-driven recommendation systems and automated eligibility screening.

• Ensure alignment with Bahrain’s digital finance governance frameworks and risk regulatory requirements.

Qualifications

• 6–10+ years in digital credit analytics, financial risk modelling, or applied machine learning for lending systems.

• Strong mathematical background in probability modelling, advanced statistics, and financial computation.

• Proven capability designing scalable AI-driven risk models within a fintech or credit ecosystem.

Preferred Competencies

• Experience with graph-based credit profiling, non-traditional risk factors, or hybrid supervised–unsupervised risk scoring.

• Familiarity with GCC risk oversight and digital credit evolution.

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