Senior Data Scientist - Financial Markets

Our client, a forward-thinking financial technology firm operating remotely, is seeking an exceptional Senior Data Scientist with expertise in financial markets . This role is central to leveraging vast datasets to uncover predictive insights, develop sophisticated quantitative models, and enhance trading strategies. You will collaborate with quants, traders, and engineers to drive innovation in algorithmic trading, risk management, and market analysis.

The position offers a unique opportunity to work with cutting-edge technologies and contribute to developing next-generation financial solutions from anywhere, fostering a truly remote-first culture.

• Design, develop, and implement advanced statistical and machine learning models for financial forecasting and risk assessment.
• Analyze large, complex datasets from financial markets to identify patterns, trends, and actionable insights.
• Build and validate predictive models for trading strategies, portfolio optimization, and fraud detection.
• Collaborate with engineering teams to deploy models into production environments and monitor their performance.
• Communicate complex analytical findings and model methodologies to both technical and non-technical stakeholders.
• Stay current with the latest research in data science, machine learning, and quantitative finance.

• PhD or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist, with a strong focus on financial markets or quantitative finance.
• Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., Scikit-learn, Tensor Flow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and database management.
• Strong understanding of financial instruments, market dynamics, and econometric modeling techniques.

• Highly competitive salary and significant bonus potential tied to model performance.
• Fully remote working environment with flexible hours.
• Generous stock options and long-term incentive plans.
• Access to state-of-the-art computational resources and datasets.
• Continuous learning opportunities and support for attending industry conferences.