Senior Data Scientist📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
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.
Requirements
- Requires 5-10 Years experience
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