Quantitative trading and investment firm started by ex-Citadel senior managing director.
They develop systematic investment strategies, enabled by a leading-edge research and development platform. The vision is simple: to build a world class, quantitative trading company with a collaborative team of highly capable researchers and engineers.
They are actively recruiting for a Software Engineer experienced in developing, managing, and maintaining Machine Learning systems in production. In this role, you will partner with the Quantitative Research team to build battle-tested production trading systems and create automated infrastructure to accelerate delivery of new models to live trading. This role represents a unique opportunity to join a quantitative investment manager at the foundational level of building a world class operation from scratch. The firm's culture will be shaped by collaboration, meritocracy, ambition, and calm determination.
Develop and manage high quality, robust and efficient data and model pipelines
Build tools that bring our models to live trading efficiently and in an automated, reproducible fashion
Improve capabilities, performance, reliability, scalability and throughput of trading systems
Work closely with quantitative, portfolio researchers to improve the profitability of trading tactics
Comfortable providing and receiving actionable feedback in a collaborative team setting
Motivated by an ambitious environment and driven colleagues
At least 5+ years of full-time professional software development experience
Previous experience with building and maintaining production machine learning systems and/or real-time data ingestion
Expertise in Python and/or C++
No experience required in finance and/or quantitative trading; interest is beneficial
Strong bias for action
Driven by accountability and internal urgency and team oriented
The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.
Benefits: Fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
Development: Open environment to maximize learning and knowledge sharing