Python Engineer - Financial Services (BH-49469)
Location London, England Sector IT Salary £70,000.00 to £105,000.00 per annum Benefits 15%+ Bonus Python Engineer - Global Investment Bank
Join a global investment bank as a Python Engineer, where you'll leverage your creativity and technical expertise to build innovative, high-quality solutions for a dynamic trading environment. Collaborate closely with business and quant teams, driving the digital transformation of our Front Office through cutting-edge platforms and technologies.
Key Responsibilities Design, develop, and deliver scalable and reusable software solutions to support trading applications. Translate business requirements into technical implementations that align with strategic goals. Drive best practices in software engineering, including continuous integration, DevOps methodologies, and rigorous testing. Partner with business and quant teams to explore creative ways to engage with risk metrics and trading strategies. Contribute to the development and enhancement of risk systems, ensuring efficient and robust performance in a fast-paced environment. Proficiency in programming languages, particularly Python with SQL/NoSQL databases.
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Location London, England Sector IT Salary £70,000.00 to £105,000.00 per annum Benefits 15%+ Bonus Python Engineer - Global Investment Bank
Join a global investment bank as a Python Engineer, where you'll leverage your creativity and technical expertise to build innovative, high-quality solutions for a dynamic trading environment. Collaborate closely with business and quant teams, driving the digital transformation of our Front Office through cutting-edge platforms and technologies.
Key Responsibilities Design, develop, and deliver scalable and reusable software solutions to support trading applications. Translate business requirements into technical implementations that align with strategic goals. Drive best practices in software engineering, including continuous integration, DevOps methodologies, and rigorous testing. Partner with business and quant teams to explore creative ways to engage with risk metrics and trading strategies. Contribute to the development and enhancement of risk systems, ensuring efficient and robust performance in a fast-paced environment. Proficiency in programming languages, particularly Python with SQL/NoSQL databases.
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