Job Details

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca.

Description:

We are seeking an experienced Fullstack Data Scientist with a strong background in Python, AWS, and React to support our client's high-frequency energy trading analytics initiatives. You will be instrumental in building interactive dashboards (Dash Plotly, Power BI, and Streamlit) and backend systems that provide real-time insights to traders and business stakeholders.

Key Responsibilities:

• Develop and maintain high-performance dashboards using Dash Plotly, Streamlit, and Power BI to visualize high-frequency energy trading data.
• Build scalable backend services and APIs in Python to process and analyze large time-series datasets.
• Design and implement user-friendly frontend components using React to support data exploration and decision-making.
• Collaborate with business stakeholders to translate analytical needs into actionable tools and dashboards.
• Conduct exploratory data analysis (EDA) and statistical modeling to uncover trends and anomalies.
• Integrate AWS services (e.g., S3, Lambda, ECS, Athena) to optimize data storage, processing, and deployment pipelines.
• Implement and manage real-time or near-real-time data pipelines using modern frameworks.
• Ensure data accuracy, integrity, and security throughout the analytics lifecycle.
• Maintain comprehensive documentation for dashboards, models, pipelines, and services to ensure reproducibility and ease of handover.

Required Qualifications:

• Minimum of 5 years of experience in data science, analytics engineering, or fullstack development for data solutions.
• Proven expertise in Dash Plotly and Streamlit for building dynamic and interactive dashboards.
• Strong proficiency in Power BI for building advanced visual reporting tools.
• Excellent programming skills in Python, with hands-on experience using libraries such as PandasNumPy, and Plotly
• Experience working with high-frequency time-series data and managing real-time data processing
• Hands-on experience with AWS cloud services (such as EC2, Lambda, S3, and RDS).
• Familiarity with React and JavaScript/TypeScript for building frontend components.
• Strong problem-solving skills and ability to work in a fast-paced trading environment.
• Excellent communication skills and ability to present complex data insights to non-technical stakeholders.