C++ Market Data Feeds Developer
Stevens Capital Management
C++ Market Data Feeds Developer
Stevens Capital Management
Quantitative hedge fund developing automated strategies
SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We're seeking highly driven, production-oriented developers who possess strong technical skills and the ability to work in a fast-paced collaborative environment.
This is an opportunity to work in a real-time environment where you can make immediate contributions. You will be part of a small team building real-time data feed handlers for the largest financial exchanges such as the NYSE, LSE, TSE, CME, BATS, ICE and NASDAQ.
Primary Responsibilities:
Requirements:
The base pay for this position is anticipated to be between $100,000 and $250,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits 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 skills, qualifications and experience.
Quantitative hedge fund developing automated strategies
Stevens Capital Management is a quantitative hedge fund manager that develops and implements empirically based trading strategies. Its flagship fund has more than 30 years in operation, reflecting a long history of trading activity in global, highly liquid markets. The firm uses large data sets, technology, and the scientific method to build automated trading strategies and execute them across major markets. SCM emphasizes recruiting top talent in quantitative research and C++ development to maintain its research-driven approach. The firm's goal is to create disciplined, data-driven trading models and deploy them at scale to generate returns in efficient financial markets.
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