Quantitative Developer (C#/Python)

We are looking for a talented senior full stack developer with experience in building risk systems and databases. In this role, you will be responsible for the development, maintenance, and support of critical risk systems that calculate P&L, Value-at-Risk, Scenarios and Risk exposures across our portfolios.

You will be joining an innovative team and will be a key contributor to our suite of reporting and analysis tools, which provide insights to risk and trading teams through Python, Excel, and web-based platforms.

You will operate within a highly collaborative environment with a diverse team of quantitative researchers, risk managers, and traders. This position offers a unique opportunity to lead greenfield projects, designing and implementing new systems and tools from the ground up.

The technology stack within our team is primarily C# and Python backends, SQL databases, RabbitMQ, REST, React and Excel UI. Exposure to C++ is beneficial as interaction with the quant library is usual.

A degree in Computer Science, Engineering, Finance, Mathematics, or a related quantitative field. Should have solid Maths or science knowledge.

Requirements

• 7+ Years developing software commercially.
• Experience in finance is advantageous but not strictly required.
• Excellent command of C# and Python.
• SQL database design and integration.
• Full software lifecycle expertise.
• Experience of working in production environment.
• Top analytical and problem-solving abilities.
• Ability to operate in a rapidly evolving environment
• Financial markets knowledge, in particular fixed income.
• Exposure to interacting with C++ libraries
• Messaging technologies such as Kafka or RabbitMQ.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: Investment Management, Investment Banking, and Banking

We are looking for a talented senior full stack developer with experience in building risk systems and databases. In this role, you will be responsible for the development, maintenance, and support of critical risk systems that calculate P&L, Value-at-Risk, Scenarios and Risk exposures across our portfolios.

You will be joining an innovative team and will be a key contributor to our suite of reporting and analysis tools, which provide insights to risk and trading teams through Python, Excel, and web-based platforms.

You will operate within a highly collaborative environment with a diverse team of quantitative researchers, risk managers, and traders. This position offers a unique opportunity to lead greenfield projects, designing and implementing new systems and tools from the ground up.

The technology stack within our team is primarily C# and Python backends, SQL databases, RabbitMQ, REST, React and Excel UI. Exposure to C++ is beneficial as interaction with the quant library is usual.

A degree in Computer Science, Engineering, Finance, Mathematics, or a related quantitative field. Should have solid Maths or science knowledge., * 7+ Years developing software commercially.

• Experience in finance is advantageous but not strictly required.
• Excellent command of C# and Python.
• SQL database design and integration.
• Full software lifecycle expertise.
• Experience of working in production environment.
• Top analytical and problem-solving abilities.
• Ability to operate in a rapidly evolving environment
• Financial markets knowledge, in particular fixed income.
• Exposure to interacting with C++ libraries
• Messaging technologies such as Kafka or RabbitMQ.