Data Auditor Jobs in Riyadh

About the Role

Yassir, a Super App focused on simplifying lives in Africa and its diaspora, is seeking a Mid/Senior Data Scientist to join its Artificial Intelligence (AI) team. This role is integral to enhancing core Yassir functionalities, such as Dynamic Pricing and Trip Dispatching, by applying advanced data analysis and modeling to optimize Machine Learning (ML) systems. The position requires a strong foundation in predictive modeling and software development to deliver impactful solutions and significant value to Yassir's operations. This is an opportunity to address critical challenges within a fast-paced technology environment.

Key Responsibilities

• Become a subject matter expert and thought leader within your designated scope, understanding its principles and details thoroughly.
• Focus on optimizing key areas including dynamic/surge pricing, discount/commissioning optimization, personalized pricing, dispatching efficiency, fraud detection, revenue leakage prevention, and recommendation systems.
• Proactively identify and propose new Machine Learning opportunities relevant to your scope and the broader organization.
• Contribute to defining requirements and prioritizing ML projects.
• Collaborate effectively with cross-functional Engineering and Product teams.
• Champion data quality as a fundamental component for all ML solutions and analytics initiatives.
• Conduct thorough Exploratory Data Analysis, followed by feature selection and engineering.
• Apply appropriate statistical and ML techniques for model training and validation.
• Tune and validate ML models to ensure optimal performance.
• Visualize analysis and modeling results, focusing on meaningful and actionable metrics and insights.
• Deploy and test ML applications using the established MLOps infrastructure.
• Monitor ML models for technical performance, business impact, and to detect data or concept drift.
• Clearly articulate technical solutions in a business-friendly manner to support product teams in their communications and reporting.
• Maintain and enhance technical documentation for all delivered solutions.
• Support the Data & AI domain in developing technical capabilities, improving work methodologies, and fostering collaboration with dependent teams.
• Champion a data-driven culture by proactively sharing knowledge across teams and actively participating in team-building activities.

Qualifications and Requirements

• Solid technical skills in Mathematics, Statistics, Machine Learning, and Software Development, ideally supported by a Master's degree or higher in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, or Physics.
• Proficiency in writing efficient, production-quality Python and SQL code in a professional setting, with at least 2 years of relevant industry experience (more experience is expected for senior roles).
• Strong understanding of key software engineering concepts including code and memory profiling, code optimization, scalability, code and QA testing, cost optimization, and associated best practices.
• Firm grasp of key statistical concepts, including statistical testing and causal analysis.
• Strong analytical thinking and problem-solving skills to address complex challenges.
• An engineering mindset focused on delivering robust and applied data science solutions.
• Effective data visualization skills, with experience using common Python ecosystem libraries and/or Analytics/BI tooling.
• Familiarity and prior experience with cloud solutions and their data/ML services; experience with Google Cloud Platform (GCP) is highly preferred.
• Mastery of the end-to-end lifecycle of ML model development.
• Effective communication skills, including presenting findings and providing clear, concise oral and written documentation in professional English.
• A positive attitude and resilience in a dynamic work environment.
• Strong interpersonal skills focused on peer support, empathy, active listening, team building, and stakeholder relationship management.
• Internal drive, self-motivation, and the ability to work independently, including effective personal project management.

Required Skills

• Python
• SQL
• Machine Learning
• Statistical Testing
• Causal Analysis
• Data Visualization
• Google Cloud Platform (GCP)
• MLOps
• Communication (Oral and Written)
• Problem Solving
• Analytical Thinking
• Teamwork
• Project Management

Additional Information

This is a full-time position based in Riyadh, Saudi Arabia. The role requires 2-5 years of experience. Experience with On-demand, Mobility, or Financial Services companies is advantageous, as is experience working on ML features for Digital Products (apps, websites). Prior experience with Pricing/Economics related projects and/or modelling techniques, Fraud Detection related projects, Dispatching related projects, or Personalization related projects is also beneficial.

About the Role

Luxoft is seeking a Data Migration Business Analyst to join our team in Riyadh, Saudi Arabia. This full-time position is integral to a major Murex greenfield implementation project for a large bank in Saudi Arabia. The role will focus on leading data migration efforts to ensure seamless transfer and integration into the new Murex system.

Key Responsibilities

• Develop MXML import and export workflows utilizing MXML Exchange.
• Apply extensive experience in Murex workflow development, covering the trade life cycle, system interface workflow creation, confirmation generation, error management, and Out-of-Scope Processing (OSP).
• Propose and implement enhancements to existing solutions using analytical and technical expertise.
• Manage complex migration projects, ensuring timely and accurate data transfer.
• Create messaging queues (MQ) and develop UNIX shell scripts for migration tasks.
• Understand and implement market data uploads in both real-time (RTBS) and batch (MDIT) modes.
• Facilitate the understanding and implementation of contract, deliverable, event, and exchange workflows.
• Ensure a comprehensive grasp of the front-to-back trade life cycle is applied during migration.

Qualifications and Requirements

• Overall experience of 7 to 10 years, with substantial expertise in Murex.
• A minimum of 5 to 7 years of dedicated experience in data migration projects.
• Proficiency in Murex , including the use of XML/XST languages, Data Dictionaries, and Templates.
• Experience with Murex migration projects.
• Knowledge of SWIFT and paper confirmations.
• Familiarity with trade interfaces such as MarkitWire, TOF, OMGEO, and RTNS.
• Understanding of market data uploads in both real-time (RTBS) and batch (MDIT) modes.
• Experience with contract, deliverable, event, and exchange workflows.
• A comprehensive grasp of the front-to-back trade life cycle.
• Awareness of FX, IR, FI, and Equity products.
• Proven ability to manage complex migration projects.
• Strong analytical skills for workflow development.
• Effective communication skills to liaise between technical and business teams.
• Adaptability to diverse trade interfaces and market data processes.

Technical Skills

• Murex workflows and MxML
• MXML import and export workflows using MXML Exchange
• XML/XST languages, Data Dictionaries, and Templates
• Messaging Queues (MQ)
• UNIX shell scripting
• Trade life cycle management
• System interface workflow creation
• Confirmation generation and error management
• Out-of-Scope Processing (OSP)
• SWIFT and paper confirmations
• Trade interfaces (MarkitWire, TOF, OMGEO, RTNS)
• Market data uploads (RTBS, MDIT)
• Contract, deliverable, event, and exchange workflows
• Front-to-back trade life cycle understanding
• FX, IR, FI, and Equity product knowledge

Work Context

This is a full-time position based in Riyadh, Saudi Arabia. The role is part of a significant Murex greenfield implementation project for a major bank. The required experience for this role ranges from 5 to 10 years overall, with a specific focus on data migration projects.

About the Role

Devsinc is seeking an experienced Senior Data Scientist to join their team in Riyadh, Saudi Arabia. This role plays a vital part in developing, validating, and deploying advanced analytics and machine learning solutions to support regulatory compliance initiatives, financial crime prevention, and risk management within the banking sector. The role requires a strong blend of technical expertise in data science and a deep understanding of banking regulations, Anti-Money Laundering (AML) and Know Your Customer (KYC) processes, sanctions screening, and model risk management frameworks. This position aims to deliver robust, interpretable, and audit-ready models that meet stringent regulatory expectations and critical business objectives.

Key Tasks and Responsibilities

• Design, develop, validate, and monitor machine learning and statistical models for compliance, financial crime detection, and risk management use cases.
• Build predictive and anomaly detection models to support Anti-Money Laundering (AML), Know Your Customer (KYC), sanctions screening, transaction monitoring, customer risk assessment, and fraud detection programs.
• Ensure all developed models comply with internal governance standards, regulatory requirements, and applicable model risk management frameworks.
• Conduct comprehensive model validation, performance testing, stability analysis, bias assessment, and interpretability reviews.
• Develop and maintain thorough model documentation, validation reports, and all necessary audit-ready artifacts.
• Collaborate effectively with compliance, risk, financial crime, technology, and data engineering teams to translate complex business requirements into actionable analytical solutions.
• Analyze large-scale structured and unstructured datasets to identify critical patterns, emerging trends, and potential compliance-related risks.
• Implement robust model monitoring frameworks, performance dashboards, and conduct periodic model reviews.
• Provide support for internal audits, regulatory examinations, and independent model validation exercises.
• Stay abreast of evolving regulatory requirements, industry best practices, and advancements in AI/ML techniques relevant to the financial sector.
• Mentor junior data scientists and contribute to the development and enforcement of data science best practices and governance standards within the organization.

Qualifications and Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Finance, or any related quantitative discipline.
• 6-8 years or more of progressive experience in data science, machine learning, or advanced analytics, particularly within the banking or financial services sector.
• Strong programming experience in Python and SQL is essential.
• Hands-on experience with major machine learning libraries and frameworks such as scikit-learn, XGBoost, PyTorch, and/or TensorFlow.
• Proven experience in developing and validating classification, anomaly detection, forecasting, and risk scoring models.
• A solid understanding of Model Risk Management (MRM) frameworks, model governance principles, and validation methodologies is required.
• Clear knowledge of banking regulatory requirements and compliance controls.
• Experience working with cloud environments and big data platforms is a plus.

Required Skills

• Data Science
• Machine Learning
• Statistical Modeling
• Anti-Money Laundering (AML)
• Know Your Customer (KYC)
• Customer Due Diligence (CDD) / Enhanced Due Diligence (EDD)
• Sanctions Screening
• Transaction Monitoring
• Financial Crime Risk Management
• Regulatory Compliance and Reporting
• Model Risk Management
• Python
• SQL
• scikit-learn
• XGBoost
• PyTorch
• TensorFlow
• Classification Models
• Anomaly Detection Models
• Forecasting Models
• Risk Scoring Models
• Model Governance
• Model Validation
• Banking Regulations
• Compliance Controls
• Cloud Environments
• Big Data Environments
• Explainable AI (XAI) Techniques
• Model Interpretation Tools
• MLOps
• Model Deployment
• Model Monitoring
• Model Lifecycle Management
• Analytical Thinking
• Problem Solving
• Stakeholder Management
• Communication
• Documentation

Job Details

This is a full-time position requiring 5-10 years of experience. The work location is Riyadh, Saudi Arabia.

About the Role

Genius Sports, a global leader in sports technology, is seeking individuals to join their team as Sports Data Collectors (Sports Scouts) in Al-Kharj, Saudi Arabia. This role involves contributing to the collection of official live data for major leagues and federations. As an independent contractor, you will capture real-time, play-by-play data from live sporting events using Genius Sports' proprietary software.

This position is suitable for individuals who are reliable, detail-oriented, and possess a strong understanding of football. You will be working with mobile technology in a live environment, ensuring the accuracy and timeliness of game statistics. This is a flexible, game-based role that provides training and offers the opportunity to increase earnings based on performance.

Key Responsibilities

• Attend live sports events in your local area, including Saudi Pro League matches and lower-profile competitions.
• Record accurate, real-time game data, including scores, plays, and key events.
• Utilize mobile technology effectively in a fast-paced, live environment to capture data.

Required Qualifications

• Strong knowledge of football is essential for accurately capturing game data.
• Must be reliable, detail-oriented, and organized to ensure data integrity.
• Availability to work evenings and weekends is required to cover live events.

Essential Skills

• Proficiency in Sports Data Collection techniques.
• In-depth knowledge of football.
• Demonstrated reliability, attention to detail, and organizational skills.
• Experience and comfort using mobile technology.

Additional Role Information

This role is offered as a Full-time Independent Contractor position, with payment structured on a paid per game basis. The specified location is Al-Kharj, Riyadh, Saudi Arabia. Training and testing will be provided to successful candidates. All CVs are required to be submitted in English. While experience is not strictly required, 0-1 years of relevant experience is noted.

About the Talent Network Opportunity

Publicis Groupe Middle East is establishing a Talent Network in Riyadh to connect with dynamic and driven individuals. This initiative is designed for professionals interested in contributing to a leading global communications group, recognized for its work in marketing, communication, and digital business transformation. The network aims to identify individuals with a strong drive, relevant skills, and a creative mindset who are prepared to make a significant impact and grow within the organization.

Role Context and Contribution

As part of the Talent Network, candidates will be considered for various roles within Publicis Groupe Middle East, aligned with their specific skills and experience. These positions typically involve contributing to projects focused on marketing, communication, and digital business transformation. Collaboration with diverse teams to achieve client objectives is a key aspect of the work undertaken by individuals within the network.

General Requirements and Candidate Profile

While specific requirements vary by role, candidates are encouraged to apply if they possess a strong drive and a creative mindset. Publicis Groupe values individuals eager to make an impact and develop their careers within a global organization. Applications are welcomed from candidates who may not meet every single criterion, as potential and passion are considered important factors.

Skills and Expertise

Candidates are encouraged to highlight any relevant skills that align with the marketing, communication, and digital business transformation sectors. This may include, but is not limited to, expertise in strategy, creativity, data analysis, technology, media planning, client management, and project execution. The specific skills sought will depend on the opportunities available within the network.

Company and Location Information

Publicis Groupe Middle East is part of Publicis Groupe, a global communications group founded in 1926. The company is a leader in marketing, communication, and digital business transformation, with a presence in over 100 countries and approximately 103,000 professionals. This Talent Network opportunity is based in Riyadh, Saudi Arabia. The work type is generally Full-time.

Growth and Culture

Publicis Groupe is committed to fostering growth and innovation within a dynamic and diverse culture. The organization supports continuous learning and development, offering opportunities to work on innovative projects. For more information about Publicis Groupe, please visit ********************

About the Role

Genius Sports, a global leader in sports technology, is seeking individuals to join their team as Sports Data Collectors (Sports Scouts) in Shaqra, Saudi Arabia. This role involves collecting real-time, play-by-play data from live sporting events using proprietary software to power official live data for sports leagues, federations, and media platforms.

This is an independent contractor position, paid per game, offering a flexible, game-based work schedule. Comprehensive training and testing will be provided.

Key Responsibilities

• Attend live sports events in your local area, including Saudi Pro League and lower-profile competitions.
• Record accurate, real-time game data, including scores, plays, and key events.
• Utilize mobile technology effectively in a fast-paced, live environment.

Qualifications and Requirements

• Strong knowledge of football (soccer).
• Must be reliable, detail-oriented, and organized.
• Availability to work evenings and weekends.
• All CVs are required to be submitted in English.

Required Skills

• Sports Data Collection
• Sports Scouting
• Proficiency in using mobile technology

Work Details

This is a full-time, independent contractor position. The role is based in Shaqra, Riyadh, Saudi Arabia. Payment is 55 € per game. Experience required is 0-1 years.

About the Role

Agoda is seeking Analysts/Senior Analysts to join its B2B Digital Marketing team. This position is based in Bangkok, with relocation assistance provided. The B2B Digital Marketing team is a key component of Agoda's B2B Marketing organization, responsible for developing and executing high-quality, scalable marketing campaigns for partners across B2B2C channels. The team collaborates with Commercial, Product, Data, and regional Marketing teams to ensure efficient campaign execution, clear performance measurement, and the delivery of data-driven recommendations that benefit both Agoda and its partners. The mission is to achieve operational excellence and drive growth through repeatable, scalable frameworks that support numerous partners simultaneously, while also providing tailored insights based on individual partner performance and business context.

Due to expansion, multiple analyst positions are available within the marketing team, covering various marketing channels. Responsibilities may include experimentation and campaign performance optimization on platforms such as Google, Bing, Tripadvisor, and Trivago, developing predictive models using data science techniques, and creating dashboards for performance tracking and insight generation.

Key Responsibilities

• Experiment with and optimize ad/campaign structures, bidding, and pricing strategies on partner platforms including Google, Bing, Tripadvisor, and Trivago.
• Adapt to new product features and implement changes derived from successful tests.
• Analyze large datasets generated by experiments.
• Develop predictive models using data science techniques to understand impacts on bookings from large-scale campaigns or demand elasticity from pricing optimization.
• Liaise with product teams regarding implementation roadmaps for developed models.
• Build dashboards to track campaign performance and derive insights.
• Understand growth levers and communicate data-driven recommendations via presentations to stakeholders.

Qualifications and Requirements

• Bachelor's degree or higher from a top university in a quantitative subject, such as computer science, mathematics, engineering, business, or science.
• Excellent verbal and written communication skills in English.
• 2+ years of experience in data analysis from top-tier consulting, investment banking, private equity, or strategy/business roles within a fast-growing global tech company.
• Ability to move fast and be efficient, making decisions based on objective evidence.
• A strong desire to take ownership, make an impact, and influence outcomes.
• Excellent organizational skills and attention to detail.
• Ability to work independently.

Required Skills

• Proficiency in data analysis packages and databases, including SAS, R, SPSS, Python, VBA, and SQL.
• Experience with data visualization tools such as Tableau and Power BI.
• Strong data analysis and data visualization capabilities.
• Experience in business analysis and business intelligence (BI).
• Familiarity with machine learning and statistics.
• Excellent communication skills.
• Strong organizational skills and attention to detail.
• Experience in digital marketing or e-commerce is advantageous.
• Experience with A/B testing and other testing metrics is beneficial.
• Strong presentation and negotiation skills are a plus.
• Skills that foster collaboration and team spirit are valued.

Work Environment and Location

This is a full-time role based in Bangkok, Thailand. Relocation assistance is provided. Agoda is committed to being an Equal Opportunity Employer, valuing diversity and fostering an inclusive environment. Employment is based on merit and qualifications.