Employs investment expertise, quantitative techniques, and
technology to scale investment processes across nontaxable and tax
qualified portfolios -- single and multi-asset class strategies,
investing in a range of securities (stocks, bonds, ETFs, mutual
funds, and separately managed accounts). Develops Groovy-based code
to implement investment management logic -- trade benefits and
quality. Performs code development and unit testing according to
Test Driven Development (TDD) processes, using Gitbucket, Eclipse,
RShiny, Spotfire, and Tableau.
Manages individual client portfolios and portfolio
characteristics -- understanding factor and risk model exposures,
performs cross-sectional and time-series analysis to improve
investment outcomes, and builds processes to facilitate ongoing
oversight across data points.
Performs portfolio construction and trading.
Develops innovative ways to manage client portfolios at scale --
maximizing after-tax performance while limiting risk-exposure to
Leads efforts across the team to develop new approaches to
evaluate portfolio quality -- taxable, tax-exempt, and
Identifies trading opportunities across client portfolios, and
manages configuration settings across the optimization
Represents the team in projects with technology groups --
provides prototypes, requirements, and business context.
Manages and directs Associate Portfolio Engineer on research
Manages separately managed accounts (SMAs) as part of overlay
portfolios and controls cash flows and identify opportunities to
transfer securities between the portfolios.
Calculates and evaluates portfolio risk, including PCA analysis
and factor analysis.
Manages and analyzes large data sets of account information for
over a million accounts.
Automates the distribution of reports across the team.
Provides insight into financial process improvements for
advanced trading strategies and liaises with technical teams for
Informs investment decisions by analyzing financial information
to forecast business, industry, or economic conditions.
Interprets data on price, yield, stability, future
investment-risk trends, economic influences, and other factors
affecting investment programs.
Education and Experience:
Masters degree (or foreign education equivalent) in Accounting,
Economics, Finance, Financial Mathematics, Computational Finance
and Risk Management, Mathematics, or a closely related field and
one (1) year of experience in the job offered or one (1) years of
experience performing quantitative analytics and risk evaluation of
multi-asset class investment portfolios.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (DE) developing Groovy-based code to
reflect complex investment management logic; developing robust
analytics and scripts to facilitate investment oversight for
quality and accuracy of portfolios, using R, Snowflake, SQL
(Microsoft SQL Server and Oracle SQL), Bloomberg, RShiny, and
Python for test-driven processes with unit-testing and code
DE measuring, analyzing, and interpreting risk characteristics
of client portfolios, using multi-factor Principal Component
Analysis (PCA) and Factor Analysis approaches; identifying
portfolio risk trade-off, market and liquidity risk impacts,
tracking error, value-at-risk model (VaR), and expected shortfall
(CVaR); and identifying interrelationships of asset classes across
U.S. and international equity, fixed income, and alternative
DE managing retirement and taxable multi-asset class investment
portfolios comprised of mutual funds, ETFs, stocks, and bonds,
using portfolio optimization, asset management theory, and
financial data modeling and analysis to make buy and sell
decisions, factoring tax impact and fund flows across 1 million+
DE designing, building, and managing portfolio management
processes according to optimization techniques -- linear,
nonlinear, and quadratic optimization techniques -- using
computational applications (Northfield, Axioma, and Cplex); and
performing back-testing and scenario analysis to ensure accuracy of
developed models and optimization results.
For full details and to apply, please visit
https://jobs.fidelity.com/ and search for job number: 2033930.