AM Quantitative Analyst II - 2056542

Company: Fidelity Investments
Location: Merrimack, NH
Posted on: June 17, 2022

Job Description:

Develops and enhances the creation of security-based indices, and multi-asset class products and strategies, using Python, Excel/VBA, MATLAB, and relational databases. Contributes to high-caliber investing, using Bloomberg PORT, and Barclays POINT. Develops quantitative techniques, models, and tools to support and strengthen the introduction of new products and strategies focusing on fixed income and multi-asset class securities. Informs investment decisions by analyzing financial information -- forecasting business, industry, or economic conditions for the enterprise.

Primary Responsibilities:

Develops strategies spanning from rule-based to complex optimization or factor-based considerations.

Maintains and improves infrastructure related to the investment process.

Builds robust quantitative tools to aid all aspects of portfolio analysis, construction, and evaluation.

Collaborates with investment and technology professionals within the division.

Explains complex quantitative concepts to non-technical individuals.

Measures, attributes, and monitors portfolio risks and returns.

Makes indecent decisions quickly, often with limited information.

Develops, articulates, and communicates investment recommendations supported by research.

Evaluates and compares the relative quality of securities in a given industry.

Recommends investments and investment timing to companies, investment firm staff, or the public.

Presents oral or written reports on general economic trends, individual corporations, and entire industries.

Conducts quantitative analyses of information affecting investment programs of public or private institutions.

Education and Experience:

Bachelors degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience in the job offered or five (5) years of experience building security selection models, creating investment portfolios, and running risk and attribution analyses.

Or, alternatively, Masters degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience in the job offered or three (3) years of experience building security selection models, creating investment portfolios, and running risk and attribution analyses.

Or, alternatively, PhD (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience in the job offered or one (1) year of experience building security selection models, creating investment portfolios, and running risk and attribution analyses.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) conducting empirical research within equity or fixed income investments to make recommendations for alpha generation and portfolio construction, using econometric and artificial intelligence techniques -- linear and non-linear, cross-sectional, and time series.

DE modeling portfolio returns and risk, using programming languages (Python, R, MATLAB, or SAS) and financial software (FactSet, Bloomberg, MSCI Barra, or Northfield).

DE creating models for utilizing security level reference and analytic attributes for equity or fixed income securities so that common risk factors can be measured and used in portfolio construction, using MATLAB, Python, SQL, or VBA; and measuring portfolio level aggregation of analytic attributes, using MATLAB, Python, SQL, or VBA.

DE building tools for portfolio construction that leverage portfolio optimization paradigms -- mean-variance optimization from an asset allocation and security selection point of view -- using MATLAB (fmincon) and Python (cvxpy); and building and improving portfolio optimization paradigms models and formulating alternative objective criteria and constraints, using optimization functions within MATLAB (fmincon) and Python cvxpy).

For full job details and to apply, please visit https://jobs.fidelity.com/ and search for job number: 2056542.

Keywords: Fidelity Investments, Manchester , AM Quantitative Analyst II - 2056542, Finance , Merrimack, NH, New Hampshire