Intern - Quantitative Services

Please review all the internship programme opportunities and make one application.

Our Quantitative Services Summer Internship Programme has been crafted so that you can understand what a career on the Quantitative Services team of Post Trade Solutions at LSEG would be like. As an intern, you play a part in the success of our organisation. This position is within the Quantitative Services team of the Post Trade Solutions division at LSEG based in London or Dublin.

The Quantitative Services team is responsible for the development of ORE, its dependent services, and implementation of ORE in major financial institutions to deliver transparent, state-of-the-art risk management. 

To be eligible, you must be in your penultimate year of graduate study and due to complete your degree on or before summer 2028. You should have a predicted PhD or Master’s degree in Math, Physics, Financial Engineering or other quantitative fields.

The successful candidate will work as part of a team of Quants to develop solutions for our risk analytics services. 

Internship Summary  

• Contributing to the development of Open-Source Risk Engine (ORE). 
• Supporting the infrastructure for the IM Risk Generation (IMRG) service. 
• Pricing client portfolios and performing stress-testing and backtesting using ORE 
• Utilising ORE to calculate risk (VaR, SIMM, etc.) on client portfolios 
• Translating client portfolios into the ORE XML format. 
• Collaborating with collateral management and risk teams to build financial applications 

What we are looking for:

We are passionate about recruiting people who are interested in pursuing a career within Financial Engineering and would like to learn about the full breadth of our business – and are interested in playing a part of our development, as it grows and diversifies.    

• Interest in Quantitative Finance, demonstrated through studies, projects or independent work 
• A good understanding of at least Python or C++ 
• Familiarity with Git, LaTex, is ideal but not essential 
• Having functional knowledge on stochastic models/SDEs, e.g. Ornstein-Uhlenbeck/Hull-White model, Black-Scholes model, etc. 
• Someone who can collaborate with others, using their communication skills in the process. 
• A curiosity for data and an ability to analyse information to draw conclusions and propose solutions.  
• Knowledge of financial derivatives and pricing techniques, e.g. finite difference, Monte Carlo Simulation, etc. 
• Ideal candidates will have the rights to work in London or Dublin without restrictions for the duration of the internship programme 

You will stand out to us if you can demonstrate and recognise that what you achieve is equally important as how you achieve it.  

Benefits

At LSEG, we provide our employees with a comprehensive benefits portfolio as part of a competitive total rewards package. Our benefit plans are designed to supplement the financial, emotional and physical wellbeing of our employees and their families at all stages of their life. We encourage an appreciative, collaborative and inclusive culture that promotes employee and organisational wellbeing.

We believe hybrid working makes more possible and recognise difference as a good thing. We want to set everyone up to bring their best self to work. Everyone will spend time with colleagues in the office (3 days), but you’ll be trusted to work flexibly, in a way that delivers excellence.

Recruitment Process:

• The first stage of the recruitment process involves making an application and submitting your resume.  
• The next stage of the application process is an Immersive Online Assessment. The assessment is designed to give you an insight into what it’s like to work at LSEG 
• The third stage is a video interview where you will answer a series of questions using a strength-based-interview style 
• The fourth stage is completion of coding assessment, so we can understand your technical capabilities 
• The final stage is a half day assessment centre which involves several different types of exercises – further information is provided at the point of invite.  

Please note, all our assessment centres are held virtually.

We recommend an early application as we consider candidates on a rolling basis. Due to the volume of applications, we might close the applications earlier, so we recommend an early application.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

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