Director, Quantitative Analyst

Position Description:

Develops, implements, and scales multi-asset, open-architecture, custom, investment solutions for intermediary clients, using Python, R, SQL, and other tools. Measures, monitors, and evaluates investment risks for multi-asset class portfolios using programming languages (R, Python, MATLAB, Excel, and SQL) and analytical and database tools (Barra). Creates relational databases to store investment data and facilitate business needs, using DBeaver, Morningstar Direct, Bloomberg, and Factset. Develops highly scalable investment processes, assists with portfolio management duties for custom model portfolios, and represents investment process, team, and capabilities.

Primary Responsibilities:

• Develops strategies that span the spectrum from rule-based to those resulting from complex optimization or factor-based considerations.
• Builds robust quantitative tools to aid all aspects of portfolio analysis, construction, evaluation, and management.
• Develops, articulates, and communicates investment recommendations supported by a comprehensive and evidence-based research process.
• Provides risk analytics and analyzes portfolio exposures to coordinate and evaluate the risk of multi-asset class mandates.
• Conducts advanced modeling of traditional and nontraditional asset classes to construct custom model portfolios.
• Represents the investment team’s investment process and capabilities.
• Recommends investment solutions to existing and prospective intermediary clients.
• Conducts quantitative analyses of information affecting investment programs.
• Collaborates with investment and technology professionals within the division.
• Identifies opportunities for process automation.
• Works with internal teams and external clients to determine scalable design criteria and investment mandates.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Financial Mathematics, Mathematics, Accounting, Statistics, Management, Computer Science, Engineering, Business Administration, or a closely related field and six (6) years of experience as a Director, Quantitative Analyst (or closely related occupation) performing investment research or portfolio analytics in Quantitative Research, Portfolio Management, or Portfolio Construction.

Or, alternatively, Master’s degree (or foreign education equivalent) in Financial Mathematics, Mathematics, Accounting, Statistics, Management, Computer Science, Engineering, Business Administration, or a closely related field and three (3) years of experience as a Director, Quantitative Analyst (or closely related occupation) performing investment research or portfolio analytics in Quantitative Research, Portfolio Management, or Portfolio Construction.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) developing optimization algorithms in Python, R, and VBA for multi-asset class portfolio construction; analyzing optimization results using quantitative methods (statistical analysis and back testing) and historical asset class and instrument level market data; and performing stress tests using simulations and forward-looking capital market assumptions.
• DE analyzing portfolio performance and risk exposures to identify and screen potential investment candidates, using Database, Morningstar Direct, and Excel; leading meetings with investment professionals to discuss investment philosophy, processes, and portfolio strategies; and presenting fund analysis, investment recommendations, and portfolio solutions to institutional and intermediary clients.
• DE analyzing risk factor model construction and factor definitions and calculations; translating output statistics into meaningful insights used for portfolio construction and management, using Microsoft Excel, SQL/Oracle Database, Python, and R; and integrating risk models into existing infrastructure using SQL/Oracle Database and Python.
• DE performing data management of investment and portfolio risk data using SQL/Oracle Database and Python; designing and building data quality checking tools in Python and R to ensure weekly and monthly investment data is loaded on time and complete, and risk analytics are calculated accurately; and performing business, systems, and data analysis, process design, and acceptance testing for investment analytics projects.

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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.

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.