Job Description:
Position Description:
Builds robust quantitative tools to aid all aspects of portfolio construction using R, MATLAB, and relational databases. Develops and maintains a set of quantitative tools in R, MATLAB and Python, to help inform asset allocation decisions. Develops and evaluates innovative systematic strategies. Improves frameworks for global tactical asset allocation. Refines tools for outcome-driven portfolio construction. Assists with the design and launch of new products. Meets with clients and consultants to present research. Maintains and improves infrastructure supporting investment process.
Primary Responsibilities:
Informs investment decisions by analyzing financial information to forecast business, industry, or economic conditions.
Monitors, measures, and attributes portfolio risks and returns.
Prepares plans of action for investment, using financial analyses.
Interprets data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.
Builds models on the detection and forecast of market environments, providing insights into asset diversification and portfolio construction in distinct regimes.
Assists with the design and launch of new investment solutions.
Meets with consultants and clients to present the team's investment process and quantitative frameworks.
Collaborates closely with investment and technology professionals within the division.
Explains complex quantitative concepts to non-technical personnel.
Education and Experience:
Master's degree (or foreign education equivalent) in Engineering, Accounting, Economics, Finance, Statistics, Mathematics, or a closely related field and no experience.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise ('DE') conducting strategic asset allocation research to develop multi-asset solutions for client risk, return, hedging, and longevity needs, including retirement, college savings, and liability driven mandates.
DE evaluating portfolio construction using mathematical techniques - optimization, linear regression, Monte-Carlo simulations, conditional analysis, and machine learning.
DE building machine learning models (Hidden Markov Models) in R or Python, for the detection and forecast of market environments, and to provide insights into asset diversification and portfolio construction.
DE performing financial data analysis and ad-hoc modeling, using Python, MATLAB, or R; performing relative value analysis using financial time series; and performing financial data extraction using SQL queries against relational databases (Oracle).
#PE1M2
Certifications:
Company Overview
Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money.
Join Us
At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees' Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined.
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 all business days of every other week in a Fidelity office.
At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.
We invite you to Find Your Fidelity at fidelitycareers.com.
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
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, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.