Job Overview
SCIENTIST — Financial AI & Predictive Modelling
Location: Riyadh, Saudi Arabia
Seniority Level: Senior / Principal Technical Specialist
Employment Type: Full-time, Permanent
Industry Focus: Fintech, Artificial Intelligence, Machine Learning, Financial Analytics, Predictive Technology
Research & Innovation Profile
A highly analytical Scientist is sought to develop artificial-intelligence capabilities capable of solving complex problems across digital financial services.
The role is intentionally positioned at the frontier of machine learning, statistical modelling, financial behaviour and predictive intelligence. The successful candidate will work with large-scale financial datasets and transform them into models capable of identifying patterns, forecasting outcomes and supporting sophisticated business decisions.
Scientific Responsibilities
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Design and develop machine-learning models for financial applications.
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Build predictive models using transactional, behavioural and financial datasets.
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Develop methodologies for customer and transaction intelligence.
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Conduct statistical analysis and experimental research.
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Evaluate model accuracy, stability, bias and predictive performance.
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Develop forecasting systems for financial and operational variables.
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Collaborate with data engineers to establish production-ready analytical pipelines.
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Work with product and risk teams to translate analytical discoveries into practical applications.
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Conduct model back-testing and performance validation.
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Develop anomaly-detection methodologies for complex financial datasets.
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Investigate emerging AI techniques with potential fintech applications.
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Establish reproducible analytical methodologies and technical documentation.
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Present research findings to technical and executive stakeholders.
Academic & Professional Requirements
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Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Econometrics, Physics or another highly quantitative discipline preferred.
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5+ years of professional experience in machine learning, quantitative research, financial analytics or data science.
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Advanced Python and SQL proficiency.
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Strong knowledge of probability, statistics and machine-learning methodologies.
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Experience with predictive modelling and model evaluation.
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Understanding of financial datasets, transactional systems or fintech environments.
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Strong research, experimentation and technical communication capabilities.
Technical Environment
Machine Learning • Python • SQL • Statistical Modelling • Predictive Analytics • Time-Series Analysis • Anomaly Detection • Data Science • AI • Quantitative Research
Scientific Standard
The successful candidate will be expected to operate beyond dashboard-level analytics—developing models that explain financial behaviour, anticipate emerging patterns and convert uncertainty into measurable decision intelligence.
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.
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