B

Barclays

Pricing engines, risk systems and structured product technology.

Investment banking 3 mapped rolesTrack BTrack DTrack A

Full posting not imported — mapping inferred from track data.

Mapped roles

3 roles

Quantitative Developer (Markets / QA)

ExperiencedTrack B

Live official posting (JR-0000135313, Prague, Cross Markets): develops 'advanced models and analytics that power trading, risk management, and quantitative strategies' for credit and securitisation; requirements name C++ plus Python, shared-codebase development, financial mathematics, Linux RHEL/Windows and distributed systems (Symphony/Kafka/Redis).

C++DerivativesNumerical methodsStochastic calculusPricing

Rates Quantitative Analyst (Front-office QA)

ExperiencedTrack D

Live official posting (JR-0000121569, New York, VP): designs stochastic interest-rate models for pricing and risk of vanilla/exotic derivatives; names curve construction, SABR/ZABR volatility calibration, C++ and Python, and numerical methods.

PythonStatisticsML foundationsResearch pipelinesTime series

Quantitative Analytics Market Risk Modeler

ExperiencedTrack A

Role title appears in Barclays' official job search results (search.jobs.barclays) for 'quantitative analyst' (Mumbai); posting content not fetched, so treat the track mapping as inferred.

PythonPortfolio analyticsFactor modelsBacktestingStatistics

Published expectations & research notes

4 notes
  • Official Quantitative Developer posting: 'To be successful... you should have: Excellent programming skills in C++ and scripting languages (Python). Experience working in a shared codebase within a multi-developer environment. Willingness to learn financial mathematics...' plus highly valued 'Experience with building cross platform (Linux RHEL/Windows) applications and distributed systems (Symphony/Kafka/Redis)'.
    Sourcedretrieved 2026-11-09search.jobs.barclays
  • Official Rates Quantitative Analyst - VP posting lists: 'Stochastic interest-rate modeling for options, exotics, and structured rates products', 'Expertise in curve construction, volatility surface calibration and modeling (e.g., SABR/ZABR), and multi-factor short-rate models', 'Programming skills in C++ and Python for quantitative finance applications', and 'Numerical methods, nonlinear analytics, and production-grade library development'.
    Sourcedretrieved 2026-11-09search.jobs.barclays
  • Both postings state the assessment frame: 'You may be assessed on the key critical skills relevant for this role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.'
    Sourcedretrieved 2026-11-09search.jobs.barclays
  • Inferred: interview format details (online tests, technical rounds, timelines) are not published on the job pages themselves; community-reported Barclays numerical/coding screens should be treated as unconfirmed. Learners must consult the official careers hub (https://home.barclays/careers/ and https://search.jobs.barclays/) for the current process.
    Inferredretrieved 2026-11-09home.barclays

Competency areas

15
  • cpp
  • python
  • dsa
  • probability
  • statistics
  • numerical analysis
  • stochastic processes
  • options
  • fixed income
  • markets
  • risk
  • databases
  • systems design
  • linux
  • software engineering

Relevant curriculum modules

6 modules

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