Job Overview
Senior Quantitative Research Scientist – Risk Modeling & Financial Stability Analytics
Riyadh, Saudi Arabia
A rapidly expanding fintech and institutional finance ecosystem is seeking a highly skilled Senior Quantitative Research Scientist – Risk Modeling & Financial Stability Analytics to lead advanced quantitative research initiatives focused on systemic risk modeling, credit analytics, portfolio stress testing, and macro-financial simulation frameworks.
This role operates at the intersection of quantitative finance, data science, and financial risk engineering, where complex economic systems are modeled using probabilistic frameworks, simulation engines, and AI-driven predictive analytics.
The environment is designed for elite quantitative researchers capable of translating deep mathematical theory into practical risk systems that govern large-scale financial ecosystems, banking infrastructure, and investment portfolios.
The organization is investing heavily in AI-enhanced risk engines, macroeconomic scenario simulation systems, enterprise credit modeling platforms, and cloud-native quantitative research infrastructure.
Strategic Role Overview
The Senior Quantitative Research Scientist will lead the development of enterprise-wide risk modeling systems, macroeconomic forecasting engines, and financial stability analytics frameworks.
This role integrates quantitative research, econometric modeling, machine learning, and financial systems engineering into a unified risk intelligence function.
Core Responsibilities
- Develop advanced credit risk, market risk, and liquidity risk models for financial ecosystems
- Build macroeconomic simulation frameworks for stress testing and scenario analysis
- Design probabilistic models for systemic financial stability assessment
- Develop AI-powered risk scoring systems for lending and investment portfolios
- Conduct advanced econometric analysis of financial markets and economic indicators
- Build Monte Carlo simulation engines for portfolio and enterprise risk evaluation
- Collaborate with data engineering teams to productionize risk analytics pipelines
- Design real-time risk monitoring dashboards for enterprise financial systems
- Implement regulatory risk compliance models aligned with financial governance standards
- Research emerging quantitative methods in financial risk and systemic modeling
- Evaluate machine learning techniques for predictive risk assessment
- Mentor junior researchers and quantitative analysts in advanced modeling techniques
Candidate Requirements
- Master’s or PhD in Quantitative Finance, Economics, Mathematics, Statistics, or related discipline
- 7–15 years of experience in quantitative risk modeling or financial research
- Strong expertise in econometrics, probability theory, and stochastic modeling
- Advanced knowledge of Python, R, or MATLAB for quantitative research
- Experience in banking risk systems or institutional finance strongly preferred
- Familiarity with regulatory frameworks and capital adequacy modeling
- Strong academic or applied research background in quantitative finance
- Excellent analytical reasoning and problem-solving capabilities
Specialized Technical Domains
- Credit risk modeling systems
- Macroeconomic simulation frameworks
- Monte Carlo financial simulations
- Systemic risk analytics
- AI-driven risk scoring systems
- Econometric forecasting models
- Portfolio stress testing systems
- Liquidity risk intelligence
- Financial stability modeling
- Regulatory risk analytics
Executive Benefits
- Highly competitive tax-free salary package
- Advanced quantitative research computing infrastructure
- Premium healthcare and executive wellness coverage
- Participation in global financial risk forums
- Exposure to sovereign and institutional risk systems
- Research publication and innovation incentives
- Long-term quantitative leadership advancement pathways
- International collaboration opportunities
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