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Our client is a multi-strategy systematic and quantitative hedge fund that employs various investment strategies which require heavy data research to navigate through challenges to ensure success. They are searching for a software engineer who is keen to join the data team.
Key Responsibilities:
• Interact and coordinate with key teams within the business to create multiple small projects, building effective products. The key teams include engineering/research execution teams.
• Developing high performance data integrations solutions which will have a direct impact on trading decisions.
• Work on automated tests, and automation of life cycle events for all asset types. Maintain, and improve integration pipelines. Develop analytical tools, self-service portals, etc. to boost efficiency in data configuration and trading decision making.
• Be responsible for all Realtime and end of day reports to internal and external parties.
• Having insights and exposure to trade positions to ensure alignment with execution through maintaining proper checks.
Qualifications:
• Strong experience with Python, design, and architecture.
• At least 5 years of experience as a software engineer. Have to be knowledgeable about databases, data integration pipelines, continuous delivery, and familiarity with SQL.
• Heavy enthusiasm and interest into the finance industry. (Past experience within this industry would be a bonus however not necessary as training and guidance can be provided)
• Outstanding collaboration skills and willingness to work in small teams. Excellent communication skills are a must to ensure success with interacts across various parts of the business.
• Familiarity with C++/ C# would be preferred
Key Responsibilities:
• Interact and coordinate with key teams within the business to create multiple small projects, building effective products. The key teams include engineering/research execution teams.
• Developing high performance data integrations solutions which will have a direct impact on trading decisions.
• Work on automated tests, and automation of life cycle events for all asset types. Maintain, and improve integration pipelines. Develop analytical tools, self-service portals, etc. to boost efficiency in data configuration and trading decision making.
• Be responsible for all Realtime and end of day reports to internal and external parties.
• Having insights and exposure to trade positions to ensure alignment with execution through maintaining proper checks.
Qualifications:
• Strong experience with Python, design, and architecture.
• At least 5 years of experience as a software engineer. Have to be knowledgeable about databases, data integration pipelines, continuous delivery, and familiarity with SQL.
• Heavy enthusiasm and interest into the finance industry. (Past experience within this industry would be a bonus however not necessary as training and guidance can be provided)
• Outstanding collaboration skills and willingness to work in small teams. Excellent communication skills are a must to ensure success with interacts across various parts of the business.
• Familiarity with C++/ C# would be preferred
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