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Join a leading alternative asset manager as a C# Developer on the Discretionary Order Management Technology Team. Responsibilities include support, development, and project work, with a focus on migrating to a new strategic OMS.

The Data & Quant Implementation Analyst at AHL is responsible for maintaining data integrity, utilizing data analytics techniques, resolving issues with trading models, collaborating with peers, and leveraging technology to enhance investment management processes. The role offers exposure across AHL and Man Group, presenting opportunities for learning and development.

Join a leading alternative asset manager as a C# Developer in the Enterprise Engineering Compliance and Regulatory team. Responsibilities include end-to-end delivery, project planning, code reviews, and supporting production systems. Key skills include C#, .NET, and MS SQL Server.

Looking for a highly motivated C++ Platform Engineer to work on the high-performance timeseries database at Arctic. Responsibilities include developing the core Arctic database, working with users to define analytics capabilities, managing data at scale, and designing systems for production resiliency.

Quant Developer role at AHL involving implementation of trading strategies, building research frameworks, developing data feeds, portfolio construction, and risk analysis tools. Requires expertise in Python, Java, C/C++, Linux, Oracle, MongoDB, NumPy, SciPy, Pandas, and knowledge of financial markets and instruments.

Application Support Analyst role supporting an Order Management System (OMS) and investment tools for middle and back-office users. Responsibilities include technical and business support, incident management, system monitoring, user administration, and system changes implementation. Seeking candidates with a strong academic background in computer science and experience with Windows and SQL.

The AHL Quant Talent Programme offers exposure to key areas in systematic investment strategies. Candidates will rotate through various functions, receive formal training, and work on meaningful projects. Responsibilities include researching, developing, and implementing trading strategies, collaborating with teams, and staying updated on industry literature. The ideal candidate has a quantitative degree, interest in financial markets, research experience, coding proficiency, and strong communication skills.