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Quantitative Specialist
Fidelity Investments
Boston, MA, United States
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Quantitative Research Services provides analytic solutions and data management services to clients in quantitative research, portfolio management, and senior leadership roles across the Equity, High Income, and Multi Asset Class divisions of Asset Management. This specialized team leads development efforts to expand and enhance the technical infrastructure and reporting capabilities associated with multi-factor model risk forecasting, quantitative alpha research, big data analytics, and performance attribution. Together with their partners in the technology and research divisions, members of this organization work as an integral part of small project teams to deliver innovative data visualization and analytic tools capable of illustrating current and time series investment themes, portfolio exposures, and factors driving fund performance. In addition to their project work, associates are also responsible for the oversight, maintenance, quality assurance and operational support of analytic and reporting environments to ensure timely and accurate investment intelligence is delivered for direct use within the portfolio management process.
Position Description
This individual will play in integral role supporting the portfolio risk analytics environment within the equity and high income divisions and will be directly supporting activities ranging from portfolio risk analysis to factor-based performance attribution. The Quantitative Specialist will be responsible for monitoring all calculation/reporting production cycles, fielding requests for custom analyses, and participating in development efforts to expand risk capabilities. The incumbent will serve as a subject area leader on all aspects of portfolio risk and the broader data environment, while leading participating in or leading multi-team projects of varying size from both a project management and technical implementation perspective.
Primary Responsibilities
• Develop deep understanding across all aspects of portfolio risk including model construction, factor definitions, factor calculations, and translating output statistics into meaningful information used within the portfolio management function.
• Consult with internal and external business partners as part of the expansion and maintenance of the investment research data environment.
• Perform business/systems/data analysis, detailed process design, and thorough acceptance testing across projects that require new content, perform complex analytic calculations, and produce additional reporting capabilities used by investment professionals.
• Oversee daily/weekly/monthly production reporting cycles across the analytic environments. Ensure all required input data is available, processes run successfully, statistical output is accurate, and reports are generated properly.
• Respond to ad-hoc data analysis requests in support of projects performed by Quantitative Research Analysts in addition to frequent high priority inquiries from other senior investment professionals.
Education and Experience
• 5-7 years of experience in an investment data analytics capacity, preferably with predictive risk responsibilities.
• Demonstrated history as a top performer working in a data analysis role where technical skills were required.
• Successfully led medium to large sized projects in a fast paced environment.
• Investment industry experience, preferably in investment research or a portfolio analytics function of an investment management company.
• A Bachelor’s degree in finance, math, accounting, engineering, or computer science. Master’s Degree and/or CFA Charter are strongly desired.
Skills and Knowledge
• Advanced level SQL and ability to traverse large database schemas across diverse content sets.
• Experience with Python, R, and/or VBA.
• Experience with stock selection models and machine learning/AI techniques are a plus.
• Highly analytical with the ability to quickly comprehend large data sets in order to develop new processes, perform calculations, identify anomalies, and/or produce new reporting capabilities.
• Familiarity with quantitative analytics, including fund and index performance measurement, predictive risk modeling, alpha research, and performance attribution.
• Strong hands-on project leadership skills with the drive to complete complex projects as a part of small teams within an extremely fast paced environment.
• Capability to liaise with investment professionals to gather requirements and manage deliverables of technical development teams.
• Knowledge of securities, corporate actions, financial statement analysis, street estimates, pricing and performance data.
• Highly proactive and self-motivated with the ability to meet objectives under minimal supervision.
Company Overview
At Fidelity, we are focused on 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. For information about working at Fidelity, visit FidelityCareers.com
Fidelity Investments is an equal opportunity employer.