Quantitative Equity Research Analyst

Job Description: Position Description: Investigates large structured and novel data sources to generate alpha using: Python, R, MATLAB, SQL, VBA and Tableau. Integrates quant research, technology and trading using FactSet, Bloomberg, Axioma, Barra. Develops core analytical capabilities or model libraries, performing advanced statistical, quantitative, or econometric techniques using IBM SPSS Statistics, StataCorp Stata and SAS. Researches or develops analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models using Oracle Java and Perl. Primary Responsibilities: Develops and maintains quantitative stock selection models globally. Participates in the team’s research agenda and takes responsibility for the full life cycle of each project from idea generation, research design, back-testing and portfolio simulations, to implementation. Enhances the investment process by investigating techniques to improve portfolio construction and optimization. Implements quantitatively based equity models, transaction cost modeling, and risk mitigation. Evaluates and develops new risk models. Drives improvements to quant infrastructure and technology platform. Collaborates in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope. Prepares requirements documentation for use by software developers. Education and Experience: Bachelor’s degree (or foreign education equivalent) in Engineering, Physics, Accounting, Economics, Finance, Statistics, Mathematics, or a closely related field and five (5) years of experience as a Quantitative Equity Research Analyst (or a closely related field) investigating large structured and novel data sources to generate alpha using Python, R, MATLAB or SQL in a Linux environment. Or, alternatively, Master’s degree (or foreign education equivalent) in Engineering, Physics, Accounting, Economics, Finance, Statistics, Mathematics, or a closely related field and three (3) years of experience as a Quantitative Equity Research Analyst (or a closely related field) investigating large structured and novel data sources to generate alpha using Python, R, MATLAB or SQL in a Linux environment. Or, alternatively, PhD (or foreign equivalent) in Quantitative and Computational Finance, Physics, Financial Mathematics, Computer Science, Mathematics, Accounting, Engineering, Statistics, or a closely related field and no experience. Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) designing, creating, analyzing, and validating quantitative equity investment strategies (alpha and risk models), using macro and micro economic reasoning, econometrics analysis, advanced mathematical, statistical and machine learning techniques using TensorFlow or PyTorch. DE conducting and streamlining quantitative research processes on signals and factors which predict future stock returns, using data science techniques, big data extraction, transformation and load (ETL), and web scraping using HTCondor or Slurm. DE developing medium to high frequency equity and FX market-predictive signals with shorter investment horizons; and processing high frequency market data using tick level time series analytic platforms -- OneTick. DE utilizing economics, linear algebra, numerical analysis, and other mathematical optimization techniques to improve existing portfolio construction methodology, incorporating multi-period optimization techniques combining fast and slow predictive signals with different investment horizons, and setting up and solving portfolio optimization problems using Mosek or Gurobi. #PE1M2 Certifications: Category: Investment Professionals Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office. At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact AccommodationsIreland@fmr.com For roles based in Germany: Contact Accommodationsgermany@fmr.com Fidelity Privacy Policy