Job Overview

Senior Fintech Risk & Algorithmic Intelligence Manager

Doha, Doha

A sophisticated digital finance ecosystem in Qatar is actively seeking a Senior Fintech Risk & Algorithmic Intelligence Manager to lead advanced risk modeling, transaction intelligence systems, and AI-driven financial decisioning frameworks across high-volume digital payment and banking environments.

This role operates at the intersection of quantitative risk engineering, machine learning systems, fraud analytics, and financial systems governance. The selected candidate will be responsible for designing intelligent risk frameworks that protect and optimize large-scale fintech ecosystems processing real-time transactions across multiple financial channels.

The environment is highly analytical and technologically advanced, integrating predictive intelligence systems into core fintech operations, including payment authorization, credit scoring, behavioral analytics, and fraud prevention systems.

Core Responsibilities

• Develop advanced algorithmic models for transaction risk scoring, fraud detection, and financial anomaly identification.
• Build machine learning pipelines supporting real-time decisioning across payment systems, lending platforms, and digital banking ecosystems.
• Design predictive intelligence systems analyzing customer behavior, transaction velocity, and financial risk exposure patterns.
• Optimize fraud prevention models using supervised and unsupervised learning techniques.
• Collaborate with engineering teams to embed risk models into payment gateways and financial APIs.
• Conduct scenario-based stress testing and Monte Carlo simulations for financial risk exposure.
• Monitor real-time transaction flows to identify suspicious behavior patterns and systemic vulnerabilities.
• Develop governance frameworks ensuring compliance with fintech regulatory standards and risk control policies.
• Create executive dashboards summarizing risk exposure, fraud trends, and model performance metrics.
• Lead research into next-generation AI-driven financial intelligence systems.

Professional Requirements

• Degree in Quantitative Finance, Data Science, Statistics, Computer Science, or Financial Engineering.
• 7–12 years of experience in fintech risk analytics, algorithmic modeling, or financial intelligence systems.
• Strong programming expertise in Python, R, SQL, or similar analytical environments.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of financial systems, payment ecosystems, and fraud detection methodologies.

Leadership Competencies

• Deep analytical and mathematical reasoning ability.
• Strong fintech risk governance mindset.
• Ability to translate complex models into business decisions.
• High attention to data integrity and regulatory compliance.

Executive Package

• Tax-free senior compensation structure
• Annual risk performance bonuses
• Full relocation and housing support
• Premium insurance coverage
• Sponsored AI and fintech analytics certifications
• Exposure to advanced algorithmic financial ecosystems

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