Ellington Management Group is looking for Research Analysts with exceptional quantitative, analytical, and/or programming skills.
As a Research Analyst you will have the opportunity to work with our credit-related trading, credit-related research, or systematic strategies teams. You will use mathematical methods to solve financial problems, and you may program in languages such as C++, Python, or R to implement those solutions. Responsibilities will vary but could include analysis of large data sets, formulation of statistical models, assisting in executing trades, and building simple models for valuing and understanding risks of securities.
Research Analysts develop and enhance our financial models by testing hypotheses on data, expressing valid hypotheses in mathematical form, and calibrating model parameters using market data. They implement these models in well-structured software, either alone or in cooperation with our Quantitative Developers. Research Analysts may be called on to assist Portfolio Managers with analysis of trading opportunities, as well as market and systemic trends and risks. Several recent hires, within their first year, developed quantitative models and trading algorithms used in day-to-day portfolio management.
The ideal candidate will have exceptional quantitative and problem solving skills and a desire to think about financial markets from a quantitative perspective. Research Analysts will find it very useful to have solid experience in programming, as well as knowledge of option pricing theory, statistics, Monte Carlo techniques, and other numerical methods.
• Pursuing an undergraduate degree or advanced degree in Computer Science, Physics, Applied Science, Engineering, Mathematics, Statistics, or Economics
• Strong interest in financial markets
• GPA of 3.5 or higher