Quant Research Summer Intern - London, Accommodation

Braunford LLP; Greater London; On-site; GBP 50,050 - 68,250; Full time

Benefits offered by this job

Accommodation

Lunch provided

Social events

Central London office

Job summary

G-Research is offering a 10-week Summer Research Programme in London for aspiring Quantitative Researchers. From 21 June to 27 August 2027, you will tackle a meaningful research project applying mathematical and computational analysis to financial time-series.

You will be mentored by a Quantitative Researcher, with reviews and a final presentation to senior management. Ideal candidates are in the final or penultimate year of a Masters or PhD in a quantitative field, with a strong math background

Qualifications

• Final or penultimate year of a Masters or PhD in a technical or quantitative subject.
• Strong mathematical background.
• Programming in Python or C#; OO language experience preferred.
• Interest in applying data science, machine learning and optimisation to real problems.
• GitHub or Kaggle profiles desirable but not essential.
• Finance experience not required, but interest and willingness to learn are essential.

Responsibilities

• Conduct a meaningful research project using mathematical modeling, statistics and computational analysis.
• Apply rigorous methodology to extract predictive signals from financial time-series.
• Explore techniques in modelling, deep learning, optimisation and machine learning.
• Assist in back-testing frameworks and portfolio signal construction pipelines.
• Collaborate with a Quantitative Researcher mentor and present findings to senior management.

Skills

Math background

Python or C#

Data science interest

Finance interest

Education

Masters or PhD in technical field

Tools

Python

C#

Job description

G-Research is offering a 10-week Summer Research Programme in London for aspiring Quantitative Researchers. From 21 June to 27 August 2027, you will tackle a meaningful research project applying mathematical and computational analysis to financial time-series.

You will be mentored by a Quantitative Researcher, with reviews and a final presentation to senior management. Ideal candidates are in the final or penultimate year of a Masters or PhD in a quantitative field, with a strong math background