Data Scientist

Braunford LLP; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading quantitative research firm in London seeks a Data Scientist to refine and analyze financial data. The role involves collaboration with researchers and engineers, utilizing a high-performance compute platform to integrate diverse datasets. Ideal candidates will have strong quantitative degrees and programming skills, with a focus on problem-solving and data visualization.

Benefits

Highly competitive compensation

Annual discretionary bonus

35 days’ annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Lunch provided via Just Eat for Business

Informal dress code

Excellent work/life balance

Monthly company events

Qualifications

• Strong academic credentials in mathematics, statistics, or computer science.
• Demonstrable experience in a data science role.
• Ability to apply mathematical concepts to financial problems.

Responsibilities

• Bring structure to financial data and refine datasets for research.
• Collaborate with Quantitative Researchers to integrate datasets.
• Analyze third-party datasets using technical expertise.

Skills

Data analysis

Problem-solving

Data visualisation

Programming in Python

Education

Minimum 2:1 degree in a quantitative subject

Job description

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This is a contract role based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.

The role

Data scientists at G-Research bring structure to the world's financial data, refining, transforming and combining varied and rich datasets to create superior representations of the outside world in our research platform.

Collaborating closely with Quantitative Researchers and Engineers - and supported by a high-performance compute platform - you’ll analyse third-party datasets and apply your technical expertise and understanding of financial markets to integrate them effectively into our growing data estate.

Who are we looking for?

The ideal candidate will have the following skills and experience:

Strong academic credentials, including a minimum 2:1 degree or equivalent, in a quantitative subject, such as mathematics, statistics, computer science, physics or engineering

Demonstrable experience in a data science or data analysis role, with excellent performance over a number of years

Good programming skills, preferably in Python

The ability to apply foundational mathematical concepts, such as probability or statistics, to real world financial and data science problems

Outstanding problem-solving ability and strong data visualisation skills

The ability to collaborate well with others on projects

Why should you apply?

Highly competitive compensation plus annual discretionary bonus

Lunch provided (viaJust Eat for Business) and dedicated barista bar

35 days’ annual leave

9% company pension contributions

Informal dress code and excellent work/life balance

Comprehensive healthcare and life assurance

Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

About Us

At G-Research, we are passionate about the intersection of finance, technology, and the future.

We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.