Statistical Arbitrage Research Analyst job opportunity at Jane Street Capital.

Home Jobs In United States Of America Tag: Quantitative Trading Statistical Arbitrage Research Analyst position at Jane Street Capital


bot
Jane Street Capital Statistical Arbitrage Research Analyst
Experience: 6-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Quantitative Trading

Copy Link Report
degreeOND
loacation New York, New York,, United States Of America
loacation New York, New ..........United States Of America

About the Position We are looking for a Statistical Arbitrage Research Analyst who is excited to apply rigorous math and statistical methods to analyze a variety of input datasets to create novel alpha-focused trading strategies for Jane Street. Your work has the potential to span across any and all liquid asset classes, including, but not limited to, U.S. and global equities, equity and fixed income futures, FX, and corporate bonds. Ideally, you will have previous experience working in a buy-side or sell-side financial firm with some combination of asset price returns data, non-returns-based traditional data, and “alternative” data sets. However, if you are an economist or data scientist in a different field (such as tech) we’re open to teaching you what you need to know to thrive in this role.   We are looking for someone who is eager to dig deep into the details of data sets to assess quality and consider outliers, dimensionality, feature engineering, causality, aligning dates across datasets, and more.  You’ll help us stay vigilant in our efforts to find and correct errors or mistakes in code, which inevitably happen — though we expect this role to involve as much time delving into the lovely messiness and complexity of data as it will on advanced statistical modeling. The problems we work on rarely have clean, definitive answers, and they often require insights from people across the firm with different areas of expertise. We find that we make the most progress when team members collaborate and communicate fluidly. Your success in this role will depend on your ability to balance expertise and intellectual rigor with an open mind to a variety of techniques and modes of thinking. We don’t believe in “one-size-fits-all” solutions; we are open to and excited about applying all different types of mathematical and statistical techniques, depending on what best fits a given problem. Progress takes place at different tempos on our team depending on the project, so you’ll need to be comfortable embracing both large leaps and incremental steps forward. About You 2-6 years of professional experience working in a data-rich environment in quantitative research Team player with a highly collaborative mindset; communicate clearly and often and enjoy discussing research ideas and results in depth Open to a variety of techniques and modes of thinking Humble about what you do and don’t know; willing to admit mistakes Enjoy learning new skills and teaching others what you know Able to write code and analyze large datasets Experienced with statistical and ML modeling Knowledge of Python preferred, but not required Background knowledge of financial markets is a plus   If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

Other Ai Matches

HR Operations Specialist Applicants are expected to have a solid experience in handling Human Resources related tasks
Machine Learning Researcher Applicants are expected to have a solid experience in handling Machine Learning related tasks
ASIC Engineer Applicants are expected to have a solid experience in handling Software Engineering related tasks
Sourcer, Machine Learning Applicants are expected to have a solid experience in handling Recruiting related tasks
Cybersecurity Governance and Risk Specialist Applicants are expected to have a solid experience in handling Cybersecurity related tasks
Software Engineer Applicants are expected to have a solid experience in handling Software Engineering related tasks
Data Centre Engineer Applicants are expected to have a solid experience in handling Network Engineering related tasks
Workplace Services and Experience - Operations Manager Applicants are expected to have a solid experience in handling Workplace Services & Experience related tasks
Technical Programme Manager Applicants are expected to have a solid experience in handling Software Engineering related tasks
Technical Product Manager Applicants are expected to have a solid experience in handling Software Engineering related tasks
Machine Learning Researcher Applicants are expected to have a solid experience in handling Machine Learning related tasks
Software Engineer Applicants are expected to have a solid experience in handling Software Engineering related tasks
Machine Learning Engineer Applicants are expected to have a solid experience in handling Machine Learning related tasks
Linux Engineer Applicants are expected to have a solid experience in handling IT and Systems Engineering related tasks
Campus Recruiter, Technology Applicants are expected to have a solid experience in handling Recruiting related tasks
Low-Latency Engineer Applicants are expected to have a solid experience in handling Software Engineering related tasks
Tools & Compilers Research and Development Applicants are expected to have a solid experience in handling Software Engineering related tasks
Operations Specialist Applicants are expected to have a solid experience in handling Operations related tasks
Strategy and Product Specialist Applicants are expected to have a solid experience in handling Strategy and Product related tasks
Operations Specialist Applicants are expected to have a solid experience in handling Operations related tasks
Sales and Trading Applicants are expected to have a solid experience in handling Sales & Trading related tasks
Quantitative Trader Applicants are expected to have a solid experience in handling Quantitative Trading related tasks
Global Communications Review Specialist Applicants are expected to have a solid experience in handling Legal and Compliance related tasks