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Develop systematic long-short strategies for single-name credit while conducting research in strategy improvement, signal development, portfolio construction, and execution techniques. Involve statistical and fundamental analysis of credit markets and apply strong coding skills for handling data.
As a Quant Developer at AHL, you'll implement trading strategies, build research frameworks, and develop portfolio management tools while collaborating closely with Quant Researchers. Your responsibilities include developing tools for performance monitoring and optimising fund allocations using various technologies and programming languages.
The Python Engineer will join the Market Data Platform team at Man Group, responsible for developing low latency, high throughput systems for managing vast amounts of market data. Tasks include working with real-time and historical data, optimizing data systems, and building visualisation tools to enhance data management.
As a Python Engineer in the Machine Learning Technology team, you will develop a cutting-edge platform and collaborate with teams to customize solutions. You will focus on using AI tools to solve complex business problems while actively engaging with the technology community and participating in various social events.
As a Quant Developer, you will implement trading strategies, build research frameworks and quant libraries, prototype data feeds, develop portfolio construction techniques, and create risk analysis tools in a collaborative environment. You will work closely with Quant Researchers to solve complex technological problems in high-frequency trading.
The Execution Algo Developer will build tools and algorithms for algorithmic trading, focusing on equities and facilitating global trading operations. This role involves creating execution algorithms, simulation environments, connectivity to trading venues, and surrounding software, all while collaborating with trading and research teams.
As an OMS Developer, you will build and enhance the Order Management System for AHL, collaborating with trading desks and quant teams to ensure a robust and efficient trading environment. You'll work with diverse asset classes and improve system performance to support future growth in trading strategies.
As a Software Engineer on the Data Engineering team, you'll develop and maintain tools for data analysis and quality checking, collaborate with data scientists, and implement strategies to monitor data quality across thousands of datasets. You'll leverage cutting-edge technologies to optimize the data pipeline from onboarding to analysis.
The Quant Developer will work with the Responsible Investment Tech team to develop and implement quantitative methods for ESG data analysis. Responsibilities include creating Python APIs, onboarding ESG datasets, and integrating this data into investment systems. Collaboration with Data Science and other investment teams is essential to ensure actionable ESG insights are available across the firm.
As an Execution Developer, you'll build tools and platforms for investment engines, focusing on execution algorithms, intelligent order routing, and trading lifecycle optimization. Collaborating closely with trading and research teams, your role will involve software design and maintenance to support innovative trading strategies across various markets and asset classes.
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