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LSEG

Global financial market infrastructure and data

Quantitative Services Intern

Quantitative RiskConfirmed live in the last 24 hours
Internship · Summer 2027No salary listed

About the Job

Requirements

  • Be in the penultimate year of graduate study and due to complete the degree on or before summer 2028.
  • Have a predicted PhD or master’s degree in Math, Physics, Financial Engineering, or another quantitative field.
  • Demonstrate interest in Quantitative Finance through studies, projects, or independent work.
  • Have a good understanding of at least Python or C++.
  • Have functional knowledge of stochastic models or stochastic differential equations, such as Ornstein-Uhlenbeck, Hull-White, or Black-Scholes models.
  • Have curiosity about data and the ability to analyse information, draw conclusions, and propose solutions.
  • Have knowledge of financial derivatives and pricing techniques, such as finite difference methods or Monte Carlo simulation.
  • Have the right to work in London or Dublin without restrictions for the duration of the internship programme.

Responsibilities

  • Contribute to the development of 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.

Desired Qualifications

  • Have familiarity with Git and LaTeX.

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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