Job Description:
Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Conducts research studies and develops quantitative techniques, models and tools to support and enhance the investment process. Defines and communicates financial facts and filters relevance using econometric modeling tools. Enhances the use of quantitative finance within company’s investment process. Offers clear, concise and persuasive investment recommendations. Process large data sets and analyzes the impact to investment decisions, using Python, R, MATLAB, SQL, and Visual Basic for Applications (VBA). Builds robust quantitative tools to aid all aspects of portfolio construction, using R, MATLAB and relational databases. Develops and evaluates innovative systematic strategies. Improves frameworks for global tactical asset allocation.
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 as-set 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:
Bachelor’s degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as an AM Quantitative Analyst I (or closely related field) investigating large structured and novel data sources to generate alpha, using Python, R, MATLAB and SQL in a Linux environment.
Or, alternatively, Master’s degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent) 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 advanced mathematical, statistical, and machine learning techniques -- multivariate regression, clustering analysis (Connectivity based - hierarchical clustering and Centroid based - K-means algorithm), Bayesian statistics, Time-Series analysis, and non-linear tree-based models.
- DE streamlining data preparation pipeline using relational databases (Oracle and Snowflake) and performing manipulation via SQL, large-scale dataset processing, web scraping, Natural Language Processing (NLP), and parallel computing; and conducting signal research for stock return prediction, using multivariate regression, Structural Vector Autoregressions (SVARs), identification of principal time-series shocks, Graph-based ranking algorithm, and statistical Machine Learning (Machine Learning).
- DE implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB, Object-Oriented Programming (OOP), and GitHub; and designing robust development pipeline, using version control, automated testing, and Continuous Integration and Continuous Delivery (CI/CD).
- DE performing portfolio construction research utilizing modern portfolio theory, mathematical optimization, numerical analysis, and transaction cost optimization, using Gurobi and Axioma; and developing in-depth portfolio analysis framework using Brinson attribution, regression-based return decomposition, Marginal Risk Contribution, regime analysis, and sensitivity analysis.
Salary: $135,000.00 to $175,000.00/year.
#PE1M2
#LI-DNI
Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Investment Professionals
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.