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Data Scientist
G-Research
Londres
Sur place
GBP 55 000 - 75 000
Plein temps
Il y a 30+ jours

Résumé du poste

G-Research is seeking a Data Scientist to enhance its research platform by analyzing financial datasets. The ideal candidate will possess a 2:1 degree in a quantitative subject and programming skills, particularly in Python. Offering competitive compensation and a supportive work environment, this role is crucial for bringing structure to financial data.

Prestations

Highly competitive compensation plus annual discretionary bonus
Lunch provided
35 days' annual leave
9% company pension contributions
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events

Qualifications

  • Experience in a data science or data analysis role.
  • Strong academic credentials in mathematics, statistics, or computer science.
  • Ability to apply statistical concepts to financial problems.

Responsabilités

  • Analyze third-party datasets to enhance the research platform.
  • Collaborate with Quantitative Researchers and Engineers.
  • Integrate diverse datasets into the growing data estate.

Connaissances

Python
Problem-solving
Data visualization

Formation

2:1 degree in a quantitative subject
Description du poste

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 (via Just 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
  • Cycle-to-work scheme
  • 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
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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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