Employer Active
- USA
Not Disclosed
Salary Not Disclosed
1 Vacancy
The principle focus of this role will be to apply sound financial intuition as well as statistical knowledge to develop and backtest new models for intraday equity prediction. The researcherwill be responsible for collaborating with other team members to explore analyze and extract value from a large number of datasets from our existing data platform. Successful candidates will utilize the existing distributed machine learning and analysis tools to do largescale equity alpha research for predictive modeling and optimization as well as to aid in the development of new tools to shorten the research loop.
Responsibilities
Qualifications:
Required Skills
Preferred Skills
Why is This a Great Opportunity:
Why is This a Great Opportunity
Major leading quantitative investment company focused on computerdriven trading in global financial markets. We are a team of researchers engineers and financial industry professionals using sophisticated statistical models to analyze data and identify predictive signals to generate superior investment returns. Investment teams each focus on their independent strategies while utilizing the firms proprietary stateoftheart technology and data platform to optimize their alpha research. We are passionate about implementing scientific and mathematical methods to explore isolate and solve problems in the global financial markets. We believe that career fulfillment and enterprise success converge when smart hardworking and intellectually curious people come together with a shared goal of innovation and the pursuit of excellence.
The Team
The researcher will join a small team led by a Portfolio Manager with 15 years of experience developing systems to apply machine learning to petabytescale problems in production environments and nearly 10 years of experience developing predictive models in the global equity markets. The team has a focus on systematic intraday shortterm and mediumterm equity strategies that have a statistical edge without being latencysensitive. A successful candidate will work closely with the Portfolio Manager and have exposure to an extensive and mature technology portfolio that includes distributed machine learning research analysis and backtesting systems that should enable applicants to quickly make a direct impact on the P&L of the team with little to no operational burden
Salary Type : Annual Salary
Salary Min : $ 200
Salary Max : $ 250
Currency Type : USD
Full Time