Qureos Mentor

Capitex

<div>About the Role
We are supporting leading banks and financial institutions across Saudi Arabia and the GCC who are strengthening their quantitative risk and model validation capabilities.
We are seeking experienced Quantitative Pricing / Model Validation professionals with strong exposure to derivative pricing models and XVA / CVA frameworks. This role is fully remote, working on high-impact projects across capital markets and risk functions.
This opportunity is ideal for technically strong quants who have validated or developed models across one or more key asset classes and want exposure to complex regional banking environments.
Key Responsibilities<ul><li>
Independently validate pricing and risk models across one or more asset classes:
</li><li><ul><li>Interest Rates
</li><li>FX
</li><li>Equities
</li><li>Commodities
</li><li>Fixed Income
</li><li>Non-linear / Exotic Derivatives
</li></ul></li><li>Review and challenge XVA frameworks including CVA, DVA, FVA, and related counterparty credit risk methodologies
</li><li>Perform independent benchmarking, sensitivity analysis, stress testing and model performance assessments
</li><li>Assess model assumptions, limitations, and implementation risks
</li><li>Review model documentation and ensure alignment with regulatory expectations
</li><li>Engage with Front Office, Market Risk, Credit Risk and Model Development teams
</li><li>Support regulatory submissions and internal governance processes
</li><li>Contribute to model risk framework enhancements</li></ul> 

Requirements 
 
Required Experience<ul><li>
5+ years&rsquo; experience in Quantitative Analytics, Model Validation or Model Development within a bank or financial institution
</li><li>Strong hands-on exposure to XVA / CVA modelling
</li><li>Experience covering at least one of the following asset classes:
</li><li><ul><li>Interest Rate Derivatives
</li><li>FX Derivatives
</li><li>Equity Derivatives
</li><li>Commodities
</li><li>Fixed Income
</li><li>Non-linear / Exotic products
</li></ul></li><li>Strong understanding of stochastic calculus, pricing theory and risk-neutral valuation
</li><li>Familiarity with regulatory frameworks impacting model validation (Basel, SR 11-7 equivalent frameworks, local GCC regulations advantageous)
</li><li>Strong programming skills (Python, C++, MATLAB, R or similar)
</li><li>Experience reviewing model documentation and conducting independent validation reports</li></ul>
Technical Skills<ul><li>
Monte Carlo simulation
</li><li>PDE methods
</li><li>Numerical methods for derivatives pricing
</li><li>Counterparty credit risk modelling
</li><li>Exposure simulation frameworks
</li><li>Greeks and sensitivities analysis
</li><li>Strong data analysis capability</li></ul>
Education<ul><li>
Master&rsquo;s or PhD in Quantitative Finance, Financial Mathematics, Mathematics, Physics, Engineering or similar quantitative discipline</li></ul></div>

Senior Quantitative Model Validation Analyst - XVA / CVA (Remote)

<div>Requirements 
 
Job Title: Senior Fraud Analyst
Location: Kuwait 
Contract Type: 12-Month Fixed-Term Contract
Role Overview
We are seeking experienced Senior Fraud Analysts to join our team on a 12-month contract in Kuwait. The successful candidates will be responsible for fraud monitoring, alert review, investigation, and case management across banking products and digital channels.
This role plays a key part in identifying, investigating, and mitigating fraud risks while ensuring a strong balance between fraud prevention and customer experience.
Key Responsibilities<ul><li>
Monitor fraud detection systems and review alerts across cards, digital banking, payments, and account activities.
</li><li>Conduct detailed investigations into suspicious transactions and potential fraud cases.
</li><li>Analyse customer behaviour, transactional data, and supporting evidence to determine fraud risk.
</li><li>Take appropriate action including customer contact, account restriction, escalation, or case closure.
</li><li>Document investigations thoroughly in line with internal policies and regulatory requirements.
</li><li>Escalate complex or high-risk cases to management and relevant stakeholders where required.
</li><li>Identify emerging fraud trends and provide feedback to rule writing and fraud strategy teams.
</li><li>Support law enforcement requests and internal audit requirements where applicable.
</li><li>Maintain service level agreements (SLAs) and productivity targets.
</li></ul>Required Skills &amp; Experience<ul><li>
Proven experience in fraud monitoring and investigation within a banking or financial services environment.
</li><li>Strong understanding of fraud typologies including card fraud, account takeover, social engineering, and mule accounts.
</li><li>Experience working with fraud detection and case management systems.
</li><li>Strong analytical and decision-making skills.
</li><li>Ability to handle sensitive situations and communicate effectively with customers when required.
</li><li>Strong documentation and reporting skills.
</li><li>Ability to work in a fast-paced environment and manage high alert volumes.
</li></ul>Preferred Qualifications<ul><li>
Experience within Middle Eastern financial institutions is advantageous.
</li><li>Knowledge of regulatory and compliance frameworks relevant to fraud risk.
</li><li>Professional certifications in fraud or financial crime (e.g., ACFE, ICA) are desirable.
</li><li>Bachelor&rsquo;s degree in Finance, Business, Risk, or related discipline.
</li></ul>What We Offer<ul><li>
Competitive contract package.
</li><li>Opportunity to work within a dynamic banking fraud environment.
</li><li>Exposure to a broad range of fraud risk scenarios and cross-functional collaboration.</li></ul></div>

Senior Fraud Analyst

<div>Job Title: Product Owner &ndash; Fraud Platform
Location: Kuwait 
Contract Type: 12-Month Fixed-Term Contract
Role Overview
We are seeking an experienced Product Owner &ndash; Fraud Platform to lead the enhancement, optimisation, and strategic development of our fraud technology platform on a 12-month contract in Kuwait. This role will be responsible for managing platform improvements, coordinating with technology vendors, and engaging key stakeholders to ensure the fraud platform effectively supports evolving business and risk requirements.
The successful candidate will act as the bridge between fraud operations, risk, technology teams, and external vendors to ensure the platform delivers maximum value, performance, and scalability.
Key Responsibilities<ul><li>
Own and manage the product roadmap for the fraud platform, aligning enhancements with business priorities and fraud risk strategy.
</li><li>Define, prioritise, and maintain the product backlog, ensuring clear user stories and acceptance criteria.
</li><li>Coordinate with external vendors and technology partners to deliver system upgrades, enhancements, and issue resolution.
</li><li>Collaborate with fraud operations, risk, compliance, and IT teams to gather requirements and translate them into functional solutions.
</li><li>Oversee testing, UAT, and implementation of platform enhancements and new features.
</li><li>Monitor platform performance, stability, and scalability, ensuring optimal system functionality.
</li><li>Manage stakeholder communication, providing regular updates on roadmap progress, risks, and delivery timelines.
</li><li>Ensure compliance with internal governance, security, and regulatory requirements.
</li><li>Support budgeting and vendor contract oversight where required.
</li></ul>Required Skills &amp; Experience<ul><li>
Proven experience as a Product Owner, Product Manager, or similar role within fraud technology, banking, fintech, or financial services.
</li><li>Strong understanding of fraud detection platforms and payment/digital fraud processes.
</li><li>Experience working with third-party vendors and managing technology partnerships.
</li><li>Solid knowledge of Agile methodologies (Scrum, Kanban) and product lifecycle management.
</li><li>Ability to translate business requirements into technical deliverables.
</li><li>Strong stakeholder management and communication skills.
</li><li>Experience overseeing system implementations, upgrades, or integrations.
</li></ul>Preferred Qualifications<ul><li>
Experience working within Middle Eastern financial institutions is advantageous.
</li><li>Professional certifications such as Certified Scrum Product Owner (CSPO) or similar are desirable.
</li><li>Bachelor&rsquo;s degree in Business, Technology, Finance, or related discipline.
</li></ul>What We Offer<ul><li>
Competitive contract package.
</li><li>Opportunity to lead strategic fraud technology initiatives.
</li><li>Exposure to cross-functional teams and senior stakeholders.</li></ul></div>

Product Owner - Fraud Platform

<div>Job Title: Fraud Rule Writer
Location: Kuwait 
Contract Type: 12-Month Fixed-Term Contract
Role Overview
We are seeking an experienced Fraud Rule Writer to join our team on a 12-month contract in Kuwait. The successful candidate will be responsible for the development, tuning, optimisation, and ongoing enhancement of fraud detection rules across digital banking and payment fraud systems. This role plays a critical part in protecting customers and the organisation from emerging fraud threats while ensuring a balanced customer experience.
Key Responsibilities<ul><li>
Design, develop, implement, and maintain fraud detection rules across digital and payment channels.
</li><li>Monitor rule performance and conduct regular tuning and optimisation to improve fraud detection rates while minimising false positives.
</li><li>Analyse fraud trends, attack patterns, and emerging threats to proactively enhance rule strategies.
</li><li>Collaborate with fraud operations, risk, data analytics, and technology teams to ensure effective rule deployment and system integration.
</li><li>Conduct impact assessments and performance reporting on rule changes and enhancements.
</li><li>Support testing, validation, and post-implementation reviews of fraud strategies.
</li><li>Ensure compliance with internal risk frameworks and regulatory requirements.
</li><li>Provide documentation and governance support for all rule development and changes.
</li></ul>Required Skills &amp; Experience<ul><li>
Proven experience in fraud rule writing within digital banking, card payments, or financial services environments.
</li><li>Strong understanding of payment fraud typologies (e.g., card-not-present, account takeover, social engineering, mule activity).
</li><li>Hands-on experience with fraud detection platforms and rule engines (e.g., FICO, Falcon, Actimize, Featurespace, Feedzai, or similar).
</li><li>Strong analytical skills with the ability to interpret data and translate insights into effective rule logic.
</li><li>Experience in rule tuning and optimisation to balance fraud prevention and customer experience.
</li><li>Knowledge of SQL or similar querying tools is highly desirable.
</li><li>Strong stakeholder communication skills and ability to work cross-functionally.
</li></ul>Preferred Qualifications<ul><li>
Experience working in Middle Eastern financial institutions is advantageous.
</li><li>Knowledge of regulatory requirements relevant to fraud risk management.
</li><li>Bachelor&rsquo;s degree in Finance, Risk Management, Data Analytics, Computer Science, or related field.
</li></ul>What We Offer<ul><li>
Competitive contract package.
</li><li>Opportunity to work on high-impact fraud prevention initiatives.
</li><li>Exposure to advanced fraud detection technologies and cross-functional collaboration.</li></ul></div>

Fraud Rule Writer

<div>Job Title: Data Scientist &ndash; Fraud Analytics
Location: Kuwait 
Contract Type: 12-Month Fixed-Term Contract
Role Overview
We are seeking a highly analytical and experienced Data Scientist &ndash; Fraud Analytics to join our team on a 12-month contract in Kuwait. The successful candidate will be responsible for developing, enhancing, and optimising fraud detection models and analytics strategies across digital and payment channels.
This role will focus on leveraging advanced analytics, machine learning, and statistical techniques to strengthen fraud detection capabilities, reduce losses, and improve customer experience by minimising false positives.
Key Responsibilities<ul><li>
Develop, validate, and deploy fraud detection models across digital banking and payment systems.
</li><li>Perform advanced data analysis to identify fraud patterns, emerging threats, and behavioural anomalies.
</li><li>Optimise existing fraud detection strategies through model tuning and performance monitoring.
</li><li>Conduct feature engineering and model performance evaluation using appropriate metrics (e.g., precision, recall, AUC, false positive rate).
</li><li>Collaborate with fraud risk, rule writing, and technology teams to translate analytical insights into actionable controls.
</li><li>Support model governance processes including documentation, validation, and regulatory compliance requirements.
</li><li>Analyse large datasets to uncover trends and recommend improvements to fraud prevention strategies.
</li><li>Assist with model implementation, testing (UAT), and post-deployment performance monitoring.
</li><li>Stay current with emerging fraud typologies and advancements in machine learning techniques.
</li></ul>Required Skills &amp; Experience<ul><li>
Proven experience in fraud analytics and model development within banking, fintech, or financial services.
</li><li>Strong knowledge of machine learning techniques (e.g., logistic regression, decision trees, random forests, gradient boosting, neural networks).
</li><li>Hands-on experience with Python, R, or similar analytical programming languages.
</li><li>Strong SQL skills and experience working with large transactional datasets.
</li><li>Understanding of fraud typologies including account takeover, card-not-present fraud, mule accounts, and social engineering.
</li><li>Experience with model performance monitoring and optimisation.
</li><li>Strong analytical thinking and problem-solving skills.
</li></ul>Preferred Qualifications<ul><li>
Experience working within Middle Eastern financial institutions is advantageous.
</li><li>Knowledge of fraud platforms such as FICO, Actimize, Feedzai, Featurespace, or similar is desirable.
</li><li>Familiarity with model risk management and regulatory expectations.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.
</li></ul>What We Offer<ul><li>
Competitive contract package.
</li><li>Opportunity to work on high-impact fraud analytics initiatives.</li></ul></div>

Data Scientist - Fraud Analytics