Job Overview
QUANT — Financial Risk Modelling & Portfolio Analytics
Location: Kuwait City, Kuwait — Remote / Hybrid
Seniority Level: Quantitative Specialist
Employment Type: Full-time, Permanent
Industry Focus: Fintech, Quantitative Finance, Risk Analytics, Credit Technology, Financial Modelling
Quantitative Opportunity
We are looking for an exceptional Quant to develop analytical models supporting financial-risk decisions, portfolio intelligence and data-driven fintech products.
This role is built for a mathematically rigorous professional who enjoys working with probability, statistics, financial datasets and predictive models to solve complex problems within digital financial environments.
Quantitative Responsibilities
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Develop statistical and mathematical models for financial-risk assessment.
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Build predictive models for portfolio performance and customer behaviour.
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Analyse large transactional and financial datasets.
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Develop scenario-analysis and stress-testing methodologies.
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Improve credit and financial-risk scoring frameworks.
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Perform statistical validation and model-performance analysis.
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Identify relationships and anomalies within complex financial datasets.
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Develop forecasting models for portfolio and revenue performance.
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Collaborate with data scientists and software engineers to productionize analytical models.
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Establish model-monitoring and performance frameworks.
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Conduct sensitivity and back-testing analyses.
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Translate quantitative findings into actionable recommendations.
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Prepare technical documentation explaining model assumptions and limitations.
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Support development of automated decisioning capabilities.
Qualifications
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Master’s degree or PhD in Mathematics, Statistics, Economics, Finance, Computer Science, Physics or a related quantitative field preferred.
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4+ years of experience in quantitative finance, risk modelling, fintech analytics or financial data science.
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Strong Python and SQL capabilities.
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Advanced understanding of probability, statistics and predictive modelling.
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Experience with machine learning is advantageous.
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Strong knowledge of financial datasets and modelling methodologies.
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Exceptional analytical and problem-solving skills.
Quantitative Toolkit
Probability • Statistics • Python • SQL • Predictive Modelling • Risk Analytics • Portfolio Analytics • Forecasting • Machine Learning • Model Validation
Analytical Standard
The ideal Quant is capable of moving from raw financial observations to statistically defensible conclusions, while understanding that a model is valuable only when its output can support better real-world financial decisions.
Don’t miss the chance to make a difference in the fintech and FX industry!
Apply now by clicking on the “Apply Now” button below.
Let’s shape the future of finance together!
#EmploySolutionJobs #FXCareers.
