Experience building/managing infrastructure in Python on a Portfolio Management team or on a Data Team.
Medium frequency trading experience preferred.
Experience working on/building global infrastructure (i.e. worked on data issues outside US)
Once infrastructure is built the role will entail Quantitate/Alpha Research
Hands on coding experience is a must; experience in Python or R ;SQL knowledge is required.
LINUX knowledge is a plus.
Would consider pure tech candidates from data teams but the individual should be interested in doing alpha research.more →
Mid-town systematic trading firm is looking for a low latency C++ programmer to work in close collaboration with traders on development of trading infrastructure and strategies.more →
Our client is looking for an exceptional KDB+/q developer to join their automated market-making data team. The AMM data strategist will help manage the loading and maintenance of our multi-terabyte KDB+/q research database of option and equity market data and analytics. The successful candidate will look at ways to continually optimize our data and research platform through software and hardware improvements, and will work with quants and traders to understand business requirements and deliver solutions.
Our client, a major and prominent hedge fund, seeks a senior quantitative developer to work within an growing systematic trading team that currently researches and builds systematic trading models for global equities with holding periods ranging from a few minutes to a few weeks.
The candidate’s primary responsibilities will include managing data storage and data access for all market data, building and maintaining a simulation environment and a real-time engine to both back test and trade global equities using existing optimization and execution tools.
This quant developer will direct and manage junior quantitative developers in the team as part of their responsibilities.
Several years of experience building simulation and real-time engines for back testing and trading global equities
Computer Science degree MSc or PhD
Strong Python programming background in data structures and concurrent / multithreaded systems
Strong understanding of algorithms and ability to write efficient and well organized code in Python and R; functional knowledge of C++ is a plus
Good understanding of convex optimization and statisticsmore →
Chicago prop trading firm is looking for a Quantitative Developer to join one if their algorithmic trading teams to support and contribute to that team’s trading performance.more →
NYC financial services firm is seeking an experienced Data Scientist with strong Python development skills to work collaboratively with quants and IT groups. Develop software libraries, implement numerical analysis, and create better user experiences with technology. Equity reference data knowledge/experience (corporate actions, exchanges, security identifiers) requisite.more →
NYC Hedge fund is seeking an experienced Stat Arb Developer to work directly with trading desk professionals leveraging technology to solve business problems in research, analysis, trading and risk management. Effectively facilitate communication between Front Office personnel in NY and non-NY based development/IT teams as well as suggest innovative solutions and commit with team to deliver timely solutions will be requisite.more →
Chicago based prop trading firm is seeking a quantitative developer to join their trading group. Initially there will be lots of quantitative programming building tools, back testing strategies, evolving into a more quantitative role.more →