My client is a renowned scientific-led quantitative trading firm comprising Computer Scientists, Technologists, and Academics who pool their cumulative experience to develop creative solutions that tackle some of the biggest questions in finance. They pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in the financial markets.
They are seeking a Python/C++ Engineer to join their team in London for one of their flagship engineering teams, to work closely with the quant researchers. The position offers a unique opportunity to influence the design and architecture of a growing system and ensure efficient development and deployment of revenue-generating solutions by a team of software engineers.
Job Description
- Work closely with quantitative researchers to improve the profitability of strategies
- Improve existing code and develop new tools
- Build robust data pipelines to assist analysis of large datasets
- Develop infrastructure for trading services to convert research ideas into production
- Experience with large-scale distributed computing technologies
Requirements
- Bachelor’s degree or higher in computer science or other quantitative discipline
- 3+ years of Python/C++ required. (Post-Graduation)
- An understanding of fundamental statistical and machine learning concepts
- Strong communication and interpersonal skills, with the ability to effectively collaborate with team members to drive projects forward.
- Competitive salary and bonus opportunities
- Collaborative environment with a team of top engineers and mathematicians
- Work on projects that have a real impact on the company's bottom line
- Free food, smart offices, opportunities to learn new skills outside of work expertise
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Quantitative Research Developer (Python/C++) employer: Acquire Me
As a leading hedge fund, our client offers an exceptional work environment where technology and innovation are at the forefront of decision-making. Employees enjoy a collaborative culture that fosters direct interaction with investment teams, providing meaningful opportunities for professional growth and the chance to work on cutting-edge projects in a fast-paced, data-rich setting. With a focus on employee development and a commitment to leveraging modern AI tooling, this role promises not only impactful work but also a pathway to advance your career in a dynamic industry.
