Executive Job Description | Quantitative Researcher; Equity
Financial Firm is hiring a Quantitative Researcher to join a strong team, which builds and implements statistical models for equity markets. The position entails leading research, development and support of mathematical/statistical models that are used in the trading process. The models are used as trading tools or to assess the performance of institutional clients through cost assessment, peer group comparison and performance analytics. Special focus lays on statistical analysis of empirical execution data to help improve trading strategies and investment returns. This will include market impact research, identification of pre- and post-trade transaction cost factors, and evaluation of algorithmic strategies.
Responsibilities include:
· Working closely with the Financial Engineering team to conduct formal quantitative analyses from question formulation to presentation of outcomes, typically including written summaries and/or business recommendations
· Identifying issues and areas in need of statistical analysis
· Actively working with other teams on implementing new models/products into production/front-end applications, e.g., requirements documents, QA, interfacing with groups outside of FE.
· Consulting with business users to ensure that analytical solutions are tailored to business needs and will support or result in effective end products; participate in a consultative role in implementing solutions
· Always being up to date with latest academic literature that is relevant to project
Educational and Professional Requirements:
· Ph.D. in Statistics, Financial Econometrics, Applied Math, Computer Science or other relevant fields; or M.S. degree in relevant fields with at least 2-4 years of professional experience.
· Strong ability to effectively communicate quantitative topics and concepts.
· Strong written and verbal communication and presentation skills are essential.
· Familiarity with statistical and optimization techniques and the principles of probability theory.
· Proficiency in Unix as well as Perl, and/or C/C++.
· Knowledge in Matlab, R/Splus and SQL/Sybase desirable.
· A desire to develop and integrate quantitative skills within a required scope of designing and implementing.
· Ability to translate research into usable, value-adding tools and information.
· Relevant research or professional experience in financial modeling and market microstructure preferred
· Highly self-disciplined, detail and results oriented
Must be authorized to work in Boston, MA. Sorry but no sponsorship or relocation assistance is available.
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