BlackRock: does its 2027 quantitative master's internship programme sponsor a UK visa?

No published policy2027 Quantitative Master's Internship Programme, Investments, Quantitative Investing (London)

Unconfirmed. BlackRock publishes no sponsorship policy for its 2027 quantitative master's internship programme, so we cannot state a firm answer. The advert does not mention visa sponsorship or right to work.

Sponsors grads?
Not published
Pay vs threshold
Not published
Opportunity
internship
Pay
not stated
2027 cycle
Posted 16 September 2026; posting scheduled to end 13 November 2026
Confidence
medium

BlackRock 2027 Quantitative Master's Internship Programme: at a glance

BlackRock's Quantitative Master's Internship Programme is an eight-week internship in London with BlackRock Systematic, its quantitative investing group. Interns may be placed in Factors, Sustainability and Solutions (FS2), Systematic Active Equity or Systematic Fixed Income, working on investment or client-related projects, joining daily market updates and learning the research and product life cycle. Source

Duration
8 weeks“an immersive eight‑week experience in the UK”Source
Who can apply
Master's students in analytics, computer science, engineering, mathematics or another quantitative field graduating between August 2027 and July 2028, with at least one year of relevant work experienceSource
Locations
London“2027 Quantitative Masters Internship Programme - Investments - Quantitative Investing - London”Source
Degree requirement
Quantitative master's degree, graduating August 2027 to July 2028“Students enrolled in analytics, computer science, engineering, mathematics or another quantitative‑focused master’s programme”Source

Every programme and stage at BlackRock

“Eligibility: Students enrolled in analytics, computer science, engineering, mathematics or another quantitative‑focused master’s programme and graduating between August 2027 and July 2028, with at least one year of relevant work experience”
BlackRock, from its own careers pages
The catch: Master's students only, and a year of relevant work experience is required. Python coding is expected. The 13 November 2026 end date comes from the posting's metadata on BlackRock's Workday board rather than the advert text. Visa position not stated.

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What BlackRock publishes about this programme

Checked against BlackRock's own careers pages on 2026-10-21. Anything not published is worth asking the early careers team before you apply.

  • Visa sponsorship policy: not published
  • Application dates: published
  • Programme description: published
  • Duration and start date: published
  • Who can apply: published
  • Pay: published
  • Locations: published
  • Degree requirement: published
  • Recruitment stages: not published

More early careers programmes at BlackRock

Sources

Verdict last checked 2026-10-21. How we check programme verdicts

Common questions

Does BlackRock sponsor visas for its 2027 quantitative master's internship programme?

Unconfirmed. BlackRock publishes no sponsorship policy for its 2027 quantitative master's internship programme, so we cannot state a firm answer. Posted on 16 September 2026 on BlackRock's Workday board, this is an eight week internship in BlackRock Systematic for students on analytics, computer science, engineering, mathematics or other quantitative master's programmes, who must also have at least one year of relevant work experience. Interns may be placed in Factors, Sustainability and Solutions, Systematic Active Equity or Systematic Fixed Income. The posting's scheduled end date on the board is 13 November 2026. The advert does not mention visa sponsorship or right to work.

What is the BlackRock 2027 quantitative master's internship programme?

BlackRock's Quantitative Master's Internship Programme is an eight-week internship in London with BlackRock Systematic, its quantitative investing group. Interns may be placed in Factors, Sustainability and Solutions (FS2), Systematic Active Equity or Systematic Fixed Income, working on investment or client-related projects, joining daily market updates and learning the research and product life cycle.

Does the pay clear the UK Skilled Worker salary threshold?

The pay for this scheme is not published clearly enough to judge against the threshold.

What is the catch international students miss with BlackRock?

Master's students only, and a year of relevant work experience is required. Python coding is expected. The 13 November 2026 end date comes from the posting's metadata on BlackRock's Workday board rather than the advert text. Visa position not stated.

When do applications open for the BlackRock 2027 quantitative master's internship programme?

Posted 16 September 2026; posting scheduled to end 13 November 2026. Checked on 2026-10-21 against BlackRock's own site.

How long is the BlackRock 2027 quantitative master's internship programme?

8 weeks, according to BlackRock's own careers information.

Who can apply for the BlackRock 2027 quantitative master's internship programme?

Master's students in analytics, computer science, engineering, mathematics or another quantitative field graduating between August 2027 and July 2028, with at least one year of relevant work experience, according to BlackRock's own careers information.

Where is the BlackRock 2027 quantitative master's internship programme based?

London, according to BlackRock's own careers information.

What degree do you need for the BlackRock 2027 quantitative master's internship programme?

Quantitative master's degree, graduating August 2027 to July 2028, according to BlackRock's own careers information.

How should I confirm BlackRock's sponsorship before applying?

Read the specific vacancy on BlackRock's careers site, ask its early-careers team directly, and check the employer on the gov.uk Register of Licensed Sponsors. Policies and thresholds change, so treat this page as a starting point and confirm for the exact role and cycle.

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Sponsorship data: Home Office register + job ad wording. Not immigration advice, verify on gov.uk. Contains public sector information licensed under the Open Government Licence v3.0. How we check this data.