Birmingham, West Midlands, United Kingdom Hybrid / WFH Options
Nextech Group Limited
Intel AI tools an advantage. Digital Support/IT Support: Windows/macOS, O365/M365, ticketing, troubleshooting, networking basics, hardware/peripherals, customer service. Data: Excel, SQL, Python (Pandas), data cleaning, visualisation, basic analytics; Power BI/Tableau a plus. Confident online facilitator with excellent communication and pacing; able to engage beginners and upskill returners. Prior teaching/training More ❯
tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio … to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration … Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large More ❯
tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio … to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration … Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large More ❯
working in the gaming industry is a plus. Technical Requirements Advanced/Expert - Excel Intermediate/Advanced - Power BI (or similar BI tool) Advanced - SQL Intermediate/Advanced - Python(pandas, sklearn) Nice to have - IBM Planning Analytics Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play … working in the gaming industry is a plus. Technical Requirements Advanced/Expert - Excel Intermediate/Advanced - Power BI (or similar BI tool) Advanced - SQL Intermediate/Advanced - Python(pandas, sklearn) Nice to have - IBM Planning Analytics Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play More ❯
About the roleWe are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits More ❯
