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LSEG

Global financial market infrastructure and data

Quantitative Services Intern

Quantitative Risk +1Confirmed live in the last 24 hours
Internship · Summer 2027Boston, MA, USA

About the Job

Requirements

  • Candidates must be in their penultimate year of graduate study and due to complete their degree on or before summer 2028.
  • Candidates should have a predicted PhD or master's degree in Mathematics, Physics, Financial Engineering, or another quantitative field.
  • Candidates should have an interest in Quantitative Finance demonstrated through studies, projects, or independent work.
  • Candidates should have a good understanding of at least Python or C++.
  • Candidates should have functional knowledge of stochastic models or stochastic differential equations, such as Ornstein-Uhlenbeck, Hull-White, or Black-Scholes models.
  • Candidates should have curiosity about data and the ability to analyze information, draw conclusions, and propose solutions.
  • Candidates should have knowledge of financial derivatives and pricing techniques, such as finite difference methods and Monte Carlo simulation.
  • Ideal candidates will have the right to work in the USA without restrictions for the duration of the internship programme.

Responsibilities

  • Contribute to the development of the Open-Source Risk Engine (ORE).
  • Support the infrastructure for the IM Risk Generation (IMRG) service.
  • Price client portfolios and perform stress testing and backtesting using ORE.
  • Use ORE to calculate risk measures, including VaR and SIMM, on client portfolios.
  • Translate client portfolios into the ORE XML format.
  • Collaborate with collateral management and risk teams to build financial applications.
  • Work as part of a team of quantitative analysts to develop solutions for risk analytics services.

Desired Qualifications

  • Familiarity with Git and LaTeX is ideal but not essential.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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