Job Description:
Position Description:
Builds model portfolios, analyzes model characteristics, and supervises the model release process. Develops, monitors, and communicates portfolio performance, positioning, risk, attribution, rebalance, and liquidity analysis to ensure alignment with investment methodologies and processes. Implements quantitative portfolio management for retirement managed accounts and non-discretionary model portfolios. Uses quantitative portfolio construction techniques in a multi-asset class context, portfolio optimization and statistics. Identifies trading opportunities across client portfolios.
Primary Responsibilities:
- Contributes to all aspects of the investment process using quantitative investment methodologies.
- Collaborates with Portfolio Managers to ensure views are implemented appropriately.
- Provides direction and guidance to the systems group as the part of continuing development of the model management platform and streamlines existing systematic processes.
- Leads the development of business requirements and performs business acceptance testing of enhanced quantitative investment capabilities.
- Enhances existing investment and operational processes (portfolio reallocations and client on-boarding).
- Works with the portfolio and product manager to hypothetical portfolios and ad-hoc investment analysis for prospective plan sponsors and financial advisors.
- Performs ad-hoc reporting and quantitative analysis (plan line up analysis and fund selection efficacy).
- Configures optimization platform inputs for desired trades.
- Performs quantitative investment analysis in conjunction with the broader investment team aimed at improving the investment methodology and client outcomes.
- Develops processes to facilitate ongoing oversight across millions of portfolios.
- Communicates performance, attribution, risk, and rebalance metrics to ensure alignment with the Portfolio Managers investment thesis.
- Develops configuration settings across optimization platforms.
Education and Experience:
Master’s degree (or foreign education equivalent) in Computational Finance, Financial Engineering, Business Administration, Mathematics, or a closely related field and two (2) years of experience as a Portfolio Engineer (or closely related occupation) performing quantitative investment management, portfolio research, systems design, and platform development within a global asset management institution providing mutual fund and wealth management solutions.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise (“DE”) performing portfolio management activities for mutual funds across multiple asset classes, using quantitative security selection and portfolio optimization methodology with a fundamental investment overlay; and evaluating portfolio characteristics, supervising trading processes, formulating execution strategies, and configuring portfolio optimization platform inputs for desired trades using Bloomberg and R, Python, VBA, and SQL programming languages.
- DE designing, developing, and testing custom built multiple asset class mutual fund portfolio management platforms incorporating proprietary fund risk modeling, quant model configuration management, portfolio rebalancing, investment oversight, data visualization, and trading platform integration on an enterprise database management system (Oracle or MySQL), using R, Python, XML, VBA, SQL, and shell scripting programming languages.
- DE researching, developing, and back-testing mutual fund regression-based factor exposure models using Bloomberg (PORT, FTST, custom data field uploads, and BQL) aimed at security selection relative to their respective categories; applying Machine Learning (ML) clustering algorithms aimed at security classification and identification of outliers, using Python; and developing custom-built Python or R packages that construct and summarize statistical investment signals used for evaluating relative performance and future alpha generating potential within investment opportunity set for portfolio construction purposes.
- DE analyzing portfolio performance, attribution, positioning, and risk exposures for global mutual portfolios using investment tools, SQL, Python, R, and VBA programming languages; and synthesizing, disseminating, and presenting investment views and analytical recommendations to portfolio managers and senior investment management, using VBA and SQL programming languages.
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Certifications:
Category:
Investment ProfessionalsFidelity’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.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.