Quant Analyst

London Stock Exchange Group•Boston, MA

1d•Onsite

About The Position

The Quant Analyst will join the Quantitative Services team within LSEG’s Post Trade Solutions division in Boston. The team develops the Open-Source Risk Engine (ORE) and its dependent services, and implements ORE at major financial institutions to deliver transparent, state-of-the-art risk management. The successful candidate will work with a team of Quants to develop solutions for risk analytics services. The role is intended for someone in the penultimate year of graduate study who is due to complete a master’s or PhD degree on or before summer 2027. Candidates should be studying mathematics, physics, financial engineering, or another quantitative field. LSEG describes itself as a global financial markets infrastructure and data provider with 25,000 people across 65 countries. Its culture emphasizes innovation, quality, continuous improvement, integrity, partnership, excellence, and change. The company states that it is committed to equal opportunity, sustainability, and supporting community economic opportunities through the LSEG Foundation.

Requirements

Be in the penultimate year of graduate study and due to complete the degree on or before summer 2027.
Have a predicted PhD or master’s degree in mathematics, physics, financial engineering, or another quantitative field.
Demonstrate an interest in quantitative finance through studies, projects, or independent work.
Have a good understanding of at least one of Python or C++.
Have functional knowledge of stochastic models or stochastic differential equations, such as Ornstein–Uhlenbeck/Hull–White or Black–Scholes models.
Be able to collaborate with others and communicate effectively.
Show curiosity about data and the ability to analyze information, draw conclusions, and propose solutions.
Have knowledge of financial derivatives and pricing techniques, such as finite difference methods or Monte Carlo simulation.

Nice To Haves

Familiarity with Git.
Familiarity with LaTeX.

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 ORE XML format.
Collaborate with collateral management and risk teams to build financial applications.