Morgan Stanley

Pricing engines, risk systems and structured product technology.

Investment banking 3 mapped rolesTrack BTrack E

Full posting not imported — mapping inferred from track data.

Mapped roles

3 roles

Technology Analyst / Software Engineer

ExperiencedTrack B

Morgan Stanley's careers page says 'From financial advisor to research analyst, investment banker to technologist... limitless possibilities to forge your own path'.

C++DerivativesNumerical methodsStochastic calculusPricing

Quantitative / Risk Analytics Developer

ExperiencedTrack B

Inferred role family aligned to the bank's Institutional Securities and risk businesses; the careers page highlights 'sell and trading and market-making services' within its business mix.

C++DerivativesNumerical methodsStochastic calculusPricing

Data & Platform Engineering

ExperiencedTrack E

Inferred role family; the careers page emphasises firmwide technology careers without naming a quant-specific track.

Distributed systemsDatabasesStreamingMarket dataReliability

Published expectations & research notes

4 notes

Careers page: 'If you are driven to succeed, eager to take on new challenges and open to collaborating with colleagues in pursuit of excellence, you'll discover a wealth of exciting career opportunities at Morgan Stanley.'
Sourcedretrieved 2026-11-09www.morganstanley.com
For experienced professionals: 'If you can lead, solve problems and innovate, we want you on our team.'
Sourcedretrieved 2026-11-09www.morganstanley.com
The careers page advertises paths for students and graduates (internships, analyst programs) and states the firm spans 41 countries with 82k employees.
Sourcedretrieved 2026-11-09www.morganstanley.com
Morgan Stanley's business pages describe Sales and Trading that provides 'sales, trading and market-making services', the institutional context for quant-dev work.
Sourcedretrieved 2026-11-09www.morganstanley.com

Competency areas

dsa
python
systems design
risk
markets
statistics
databases
software engineering
finance fundamentals

Preparation assessments

Quantitative Aptitude Assessment15q · 25m Systems Design Assessment8q · 35m

Relevant curriculum modules

5 modules

Algorithmic TechniquesSearching, sorting, two pointers, graphs, dynamic programming and string algorithms.

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

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

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

Financial FundamentalsMoney, interest, the time value of money, NPV and IRR.

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