Vice President, Quantitative Research, Model Portfolio Solutions (MPS), Multi-Asset Strategies & Solutions (MASS)
BlackRockSan Francisco, CAPosted 7 April 2026
Job Description
About this role
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk
management
and advisory services to institutional,
intermediary
and individual investors around the world .
BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets .
Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
Blac kRock's Model Portfolio
Solutions
(MP S)
team develops systematic investment
strategies to
deliver consistent outperformance
for clients
seeking
tactical, outcome-oriented, and/or strategic investment solutions .
The team implements these str ategies ac ross a global suite of ETFs and
active funds .
MP S is one of the fastest growing businesses
at
BlackRock.
We are seeking
a
Researcher / PM
to
assist
with our
original investment research and portfolio management .
The role will involve the development of new inve stment strategies , portfolio construction, and model
/
portfolio management .
The success ful candidate will
possess
a passion for creative and critical thinkin g about financial markets
and financial problem solving,
strong academic credentials, extensive empirical training,
a willingness to learn , a collaborative mindset and a deep team-player spirit .
Work experience in financial markets
and in quantitative data analysis
is a plus.
Responsibilities
Carry out original,
implementable
financial
research
that forecasts
drivers of market
returns
and
aid s
in building or improving
multiasset
portfolios.
Develop alpha signals for trading baskets of stocks, bonds,
commodities
or alternative securities, either within an asset class or across asset class
Build tools,
data
analytics
and
visualizations
to
facilitate
and/or improve portfolio management ,
research
and/or discussions around discretionary fundamental investing
Implement
original financial
insights
in
c lient portfolios and models, using them to
deliver investment performance that meets or exceeds client
expectations;
Remain
up-to-date
on developments in global financial markets and economics .
Skills
and Requirements
D egree in
finance ,
financial engineering, data science,
economics ,
or accounting ; advanced degree a
plus ;
Strong technical and coding skills, including at least one
year
programing in Python and experience working with large data sets.
Creativity and capability to move ideas to implementable investment
insights ;
Impeccable character with high ethical and quality standards , strong work ethic and focus on the
team ;
Proven ability to work independently
and diligently
with limited oversight ;
Confidence to credibly
represent
the firm and to champion new products/ideas internally ;
Passion for
the successful generation of discipl ined investment ou t-performance;
Ability to work in a fast-paced, team environment where this is a premium on collegiality.

For San Francisco, CA Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so ... (truncated, view full listing at source)
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