Project description
This Project is for one of the global investment management firm founded in 1989 that manages approximately $48.3 billion in assets as of March 21, 2021. The firm has more than 2,800 employees with offices in the United States, Europe and Asia. Algo Execution Services Technology team is responsible for developing, enhancing and maintaining internal suite of Algorithmic trading systems. This suite is a core offering that the firm provides to its portfolio management teams to help optimize executions. These trading systems are multi-asset and global in nature and currently live in nearly 50 markets. They are designed and constantly tuned to achieve high throughput and low latency. Team is spread out globally with presence is New York, Miami, London, Belgrade and Singapore. You will: • Have a of of cross-teams communications in English • Build the next generation of trading applications and tools (including systematic and quantitative trading) • Be a key contributor in the design and implementation of the portfolio management infrastructure • Engage with various technology and data teams within the firm in enabling the above • Manage technical risks and build prototypes or POCs where needed to validate technical approach Become a part of: • Mature team with an entrepreneurial culture, where professionalism, ownership, and excellence are highly valued, whilst wholesome work/life balance is maintained. • Positive, friendly and very supportive environment with open communication and constructive feedback practices. Benefits and perks: • Competitive compensation package and benefits • Opportunities for career and professional growth • Global company • Business-domain specific courses • Training programs for technical & functional skills • Onboarding relocation package • Business trips to NYC, Miami • Sports and leisure activities • Informal team events
Responsibilities
SKILLS
Must have
Nice to have
• Experience with any cloud platform and containerization tools is a plus. • Prior experience building algorithmic trading system or finance is required. • Knowledge of Kdb+/Q is a big plus. • Any front-end development experience is a plus.