الخبرة : 0-3 سنة
الراتب : Not Mentioned
المكان : · Saudi Arabia
🗓️ Working Days and Hours: Monday to Friday, 9 AM – 6 PM (UK Hours); Potential for Flexible Hours
📍 Location: Remote/Online
💷 Salary Range: Attractive, Top-of-Market Salary (paid in GBP/USD)
Palm Outsourcing helps international companies find talent in Egypt.
Please note, we will only be considering excellent applicants with solid demonstrable experience. If you do not have clear and evidenced experience, you will be immediately rejected, so please do not apply.
Contrastingly if you feel you are a right fit relative to the requirements below, please proceed.
Opportunity Overview
Our client is a leading quantitative investment firm operating globally at the intersection of finance and technology. They are renowned for leveraging cutting-edge machine learning techniques to generate robust investment strategies across a range of financial markets.
This role presents a unique opportunity to contribute to the core model research and development engine within a highly technical and intellectually driven environment.
As a pivotal member of our client’s data science team, you will drive innovation in time series forecasting and signal generation, helping shape the firm’s quantitative edge.
Role Description
We're looking for an Investment Data Scientist to join our client’s team. If you're an analytically minded, hands-on problem solver who wants to shape the future of systematic investing through rigorous experimentation and model development, this could be the ideal next step.
You’ll play a crucial role in designing and maintaining machine learning pipelines, building and evaluating predictive models, and translating complex datasets into actionable trading signals.
This position offers deep technical challenges, close collaboration with engineering and investment professionals, and strong opportunities for career progression in a high-performance research culture.
Key Responsibilities
• Model Development and Validation – Design, implement, and tune machine learning models on financial time series data using both linear and non-linear techniques.
• Automated ML Pipelines – Build robust, scalable ML workflows for training, validation, and backtesting, ensuring modularity and reproducibility.
• Feature Engineering – Extract and construct relevant features from complex structured financial datasets.
• Experimental Design – Apply statistical validation frameworks such as walk-forward analysis, rolling windows, and nested cross-validation.
• Unsupervised Learning – Use dimensionality reduction and clustering to uncover latent patterns in market data.
• Production Collaboration – Work closely with engineering teams to deploy models into live trading environments.
• Communication and Documentation – Clearly present findings to both technical and non-technical stakeholders with well-maintained documentation.
Minimum Qualifications
• Industry Experience – Minimum 3 years of experience as a data scientist or quant in the finance or fintech sector.
• Time Series Expertise – Proven track record in time series modelling, signal generation, and evaluation in dynamic environments.
• Python Proficiency – Advanced programming skills using Python, with deep familiarity across ML libraries including scikit-learn, XGBoost, LightGBM, and statsmodels.
• Workflow Automation – Hands-on experience with ML pipeline orchestration tools such as Airflow or Prefect.
• Statistical Rigour – Strong grounding in statistical testing, feature selection, and techniques to avoid overfitting.
• Unsupervised Learning – Practical experience with clustering algorithms like k-means, DBSCAN, or hierarchical clustering.
• Data Handling – Competent in SQL and manipulation of large tabular datasets.
Bonus Qualifications
• Financial Modelling Knowledge – Understanding of return prediction, risk modelling, and portfolio construction.
• High-Frequency Data Exposure – Experience with multi-timeframe or high-frequency financial datasets.
Company Benefits
• Top-of-the-market pay.
• Remote working.
• Potential for flexible hours.
• Typically, we work with our own laptops, but if you need any extra gadgets to do your best work, we've got you covered.
• Becoming a part of Palm Outsourcing, where your performance is rewarded in long-term job security and continued growth opportunities.