Job Description
Quantitative Developer - KDB Founded in 1989, Millennium is one of the largest and longest-operating hedge funds in the industry with over $62 billion in assets under management. We allocate capital across more than 330 entrepreneurial portfolio managers who invest in a diverse set of strategies. Our goal is to help our global investors meet their investment objectives by achieving absolute returns with minimal risk over the long term. We do this by empowering our portfolio managers through proprietary technology and resources at scale to create a uniquely diversified investment platform. A Career at Millennium With more than 5,500 employees, our Firm harnesses the entrepreneurial drive of our people. We seek to attract, develop and retain the best talent in the industry. We offer career development opportunities by working directly with an established leadership team that has years of industry experience across a variety of disciplines. We encourage our teams to work together in a collegial and collaborative environment. We empower everyone to think like owners with the ability to make decisions based on a combination of rigorous analysis and an open, creative mentality. This enables us to continuously improve our day-to-day activities, and ultimately the Firm as a whole. General Information Hiring Department/Group: Execution Services Job Title: Quantitative Developer Office Location: Dublin, Ireland Job Function Summary The Execution Services team is responsible for trade execution across a wide range of products and geographies, with a focus on minimizing trading costs and execution risk. We are looking for a highly driven, results oriented Quantitative Developer to join a new and dynamic group tasked with developing our next-generation quantitative research platform. We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process. Principal Responsibilities Make large contributions to the platform, working in an iterative and dynamic environment. Support, maintain and test own code following best-practices including unit testing, documentation and automation within typical CI processes. Collaborate with team members to decide overall direction, design and architecture of the platform, and with key stake holders across Execution Services. Qualifications/Skills Required 5+ years of KDB and Python in a Quantitative Finance setting. Prior experience with simulation, back-testing and signal research highly preferred. Experience with ML, pykx or cloud tooling is a bonus. Highly analytical and strong problem-solving skills and attention to detail. Strong communication skills with the ability to explain technical and sophisticated concepts clearly and concisely. #J-18808-Ljbffr