Data Scientist
(JO0000000043)
Overview
Reference
JO0000000043
Salary
SAR18,000 - SAR23,000/month + Benefits
Specialism:
Tech
Job Type
Permanent
Job Location
- Saudi Arabia -- Riyadh Province
Posted
18 April 2025
About the Client:
Our client is a financial institution in Riyadh, Saudi Arabia, dedicated to leveraging data-driven insights to enhance their services and drive innovation in the financial sector. They are committed to adopting advanced analytics and machine learning techniques to optimize operations, mitigate risks, and improve customer experiences. They are seeking a highly skilled and experienced Data Scientist to join their team.
Job Summary:
The Data Scientist will be responsible for developing and implementing advanced analytical models to extract actionable insights from complex financial data. This individual will apply their expertise in machine learning, statistical analysis, and data visualization to address critical challenges in the finance domain. The ideal candidate will possess a strong understanding of financial data, excellent analytical skills, and the ability to communicate complex findings to diverse stakeholders.
Responsibilities:
- Data Analysis & Modeling:
- Develop and implement machine learning models for predictive analytics, risk management, fraud detection, and customer segmentation.
- Perform statistical analysis to identify trends, patterns, and correlations within financial data.
- Extract, clean, and transform large datasets from various sources, including transaction data, market data, and customer data.
- Design and implement data visualization dashboards to communicate key findings and insights.
- Evaluate and optimize the performance of machine learning models.
- Implement and maintain data pipelines for analytical purposes.
- Financial Domain Expertise:
- Collaborate with financial analysts, risk managers, and business stakeholders to understand business requirements and identify opportunities for data-driven solutions.
- Apply knowledge of financial data standards and regulations (e.g., SAMA regulations, AML/KYC requirements).
- Contribute to the development of data-driven financial products and services.
- Research and evaluate emerging trends in financial analytics and machine learning.
- Communication & Collaboration:
- Communicate complex analytical findings to technical and non-technical audiences.
- Present data-driven insights and recommendations to senior management and stakeholders.
- Collaborate with cross-functional teams to implement data science solutions.
- Document all work performed, including model development, data analysis, and testing.
- Research and Development:
- Stay up to date with the latest advancements in data science and machine learning.
- Explore and evaluate new data sources and analytical tools.
- Contribute to the development of intellectual property and publications.
Qualifications & Experience:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
- 5-10 years of experience as a Data Scientist, preferably in the finance industry.
- Strong proficiency in programming languages such as Python or R.
- Experience with machine learning libraries and frameworks (e.g., scikit-learn,TensorFlow, PyTorch)
- Strong knowledge of statistical analysis and data mining techniques.
- Experience with database management and SQL.
- Familiarity with financial data and industry practices.
- Excellent communication and presentation skills in English.
Essential Skills:
- Technical Expertise: Strong understanding of machine learning, statistical analysis, and data visualization.
- Analytical Skills: Strong analytical and problem-solving skills.
- Financial Domain Knowledge: Understanding of financial data and industry practices.
- Communication Skills: Excellent verbal and written communication skills in English.
- Problem-Solving: Strong analytical and problem-solving skills.
- Programming: Strong programming abilities in Python and/or R.
Preferred Skills:
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
- Experience with big data technologies (e.g., Hadoop, Spark).
- Experience with time series analysis and forecasting.
- Experience with fraud detection and risk modelling.
- Relevant certifications (e.g., CFA, FRM).
- Knowledge of Arabic language.
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on impactful data science projects in the finance industry.
- Professional development and career growth opportunities.
- Dynamic and collaborative work environment.
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