BlackRock

Portfolio analytics, factor research and platform engineering.

Asset management 3 mapped rolesTrack ATrack E

Full posting not imported — mapping inferred from track data.

Mapped roles

3 roles

Software Engineer — Aladdin / Technology

ExperiencedTrack A

BlackRock's careers site describes the firm as 'an asset manager and leading provider of financial technology' and references Aladdin, its flagship platform, in its student-programme stories.

PythonPortfolio analyticsFactor modelsBacktestingStatistics

Quantitative / Portfolio Analytics Engineer

ExperiencedTrack A

Track definition for BlackRock-centred roles: portfolio analytics, factor models and Python research infrastructure; the careers site advertises personalised tech career paths.

PythonPortfolio analyticsFactor modelsBacktestingStatistics

Data / Platform Engineering

ExperiencedTrack E

Inferred role family from the firm's fintech-platform positioning; no specific posting was retrieved.

Distributed systemsDatabasesStreamingMarket dataReliability

Published expectations & research notes

4 notes

BlackRock's careers home: 'Clients turn to us – as both an asset manager and leading provider of financial technology – for the innovative solutions they need when planning for their most important goals.'
Sourcedretrieved 2026-11-09careers.blackrock.com
BlackRock for Universities grew from a 2019 hackathon idea and integrates Aladdin so students can analyze portfolios more effectively, bridging academic learning and professional investment practice.
Sourcedretrieved 2026-11-09careers.blackrock.com
The careers site states 'BlackRock's tech careers offer diverse and dynamic opportunities with personalized career paths and continuous learning' and highlights internal mobility stories.
Sourcedretrieved 2026-11-09careers.blackrock.com
The careers portal organises hiring around Life at BlackRock, Student & Graduate programmes across Americas/EMEA/APAC, and experienced-professional openings.
Sourcedretrieved 2026-11-09careers.blackrock.com

Competency areas

python
statistics
portfolio
risk
markets
databases
software engineering
machine learning
finance fundamentals

Preparation assessments

Quantitative Aptitude Assessment15q · 25m Financial Mathematics Assessment12q · 30m Systems Design Assessment8q · 35m

Relevant curriculum modules

5 modules

Portfolio ManagementMean-variance theory, factor models, performance ratios and attribution.

Risk ManagementVaR, expected shortfall, stress testing and the risk toolchain.

StatisticsSampling, MLE, hypothesis testing, regression and the bootstrap.

Scientific PythonNumPy, Pandas, SciPy, Matplotlib and Jupyter applied to real quantitative problems.

DatabasesRelational modelling, SQL, transactions, indexes and query optimisation.

See how these roles map to your learning path

Every track above is backed by a phase-by-phase curriculum with lessons, drills and assessments.

Open curriculum