Quantitative Analyst II - 2076157
Company: Fidelity Investments
Location: Merrimack, NH
Posted on: May 10, 2023
Job Description:
Position Description: Builds robust quantitative tools to aid all aspects of fixed
income portfolio analysis, construction, and evaluation. Conducts
financial modeling using financial packages and portfolio
management tool -- Bloomberg. Performs quantitative analysis and
programming using Python, Excel VBA, and SQL. Improves the quality
and time-to-market of research initiative. Implements
quantitatively based portfolio construction and risk management
analytics. Creates quantitative factors and models to facilitate
research and portfolio construction processes. Primary Responsibilities: Develops and enhances optimization models for systematic
construction and management of fixed income portfolios. Performs research on domestic and international debt issuers to
support investment decisions. Develops quantitative techniques, models, and tools to support
and enhance the investment process used to manage client
accounts. Maintains and improves infrastructure related to the investment
process. Builds robust quantitative tools to aid all aspects of portfolio
analysis and construction. Monitors, measures, and attributes portfolio risks and
returns. Analyzes large data sets to develop new processes, perform
calculations, identify anomalies, and produce new reporting
capabilities. Contributes to the continued development and incorporation of
non-traditional and/or unstructured data and data science
applications to enhance the research and investment process. Responds to requests for ad-hoc analysis, tool updating, idea
evaluation, and risk metrics. Liaises with investment professionals to gather requirements and
manage deliverables of technical development teams. Explains complex quantitative concepts to nontechnical
personnel. Interprets data on price, yield, stability, future
investment-risk trends, economic influences, and factors affecting
investment programs. Education and Experience: Bachelors degree (or foreign education equivalent) in
Engineering, Accounting, Economics, Finance, Statistics,
Mathematics, Financial Mathematics, or a closely related field and
five (5) years of experience in the job offered or five (5) years
of experience building fixed income analytics, performing portfolio
optimization, and conducting empirical quantitative research. Or, alternatively, Masters degree (or foreign education
equivalent) in Engineering, Accounting, Economics, Finance,
Statistics, Mathematics, Financial Mathematics, or a closely
related field and three (3) years of experience in the job offered
or three (3) years of experience building fixed income analytics,
performing portfolio optimization, and conducting empirical
quantitative research. Or, alternatively, a PhD degree (or foreign education
equivalent) in Engineering, Accounting, Economics, Finance,
Statistics, Mathematics, Financial Mathematics, or a closely
related field and no experience. Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (DE) performing financial data analysis
and statistical modeling for investment and risk analytics, using
Python and Excel VBA; and performing data extraction using SQL
queries against relational databases. DE implementing mathematical optimization models for fixed
income portfolio construction, applying linear programming, mixed
integer programming, and nonlinear programming concepts, using
optimization solvers (Gurobi or Cvxpy) and Python programming; and
implementing bond portfolio constraints, using vector algebra and
matrix manipulation techniques. DE performing fixed income securities pricing, and valuation and
risk analytics, to generate analytic attributes for fixed income
securities (treasuries, corporate bonds, futures, and swaps) --
price sensitivities to risk factors (interest rate levels, spread
to treasury rates, and interest-rate volatility) -- to be measured
and used in portfolio construction and risk analytics, using Python
and SQL; and conducting portfolio analytics and portfolio
attribution, using Python, SQL, and Excel VBA. DE conducting empirical quantitative research on fixed income
indices and factors, using financial time series analysis and
econometrics with Python and SQL; and building predictive models
for interest rates and spreads, using machine learning techniques
LASSO regression, logistic regression, SVM, and PCA. [Expertise may gained during graduate program] For full job details and to apply, please visit
https://jobs.fidelity.com/ and search for job number: 2076157.
Keywords: Fidelity Investments, Manchester , Quantitative Analyst II - 2076157, Finance , Merrimack, NH, New Hampshire