Espace Recruteurs

Quantitative Data Engineer / Data Scientist

Universities Superannuation Scheme Limited
Royaume-Uni, Londres
Mise en ligne il y a 11 jours Hybride CDI Competitive plus Bonus/Benefits
Jane
Mise en ligne par
Jane Paton
Executive Recruitment Partner
Main Purpose of the Role As well as being involved in quantitative research projects, this individual will be the data integration subject matter expert (SME) within the team. They will be responsible for proposing the data architecture for the quantitative equity research team and building out the necessary extraction and transformation pipelines to parse and cleanse raw data from various sources into a performant, specialised research database for quantitative research.

Key Responsibilities

  • Work with other front office equities and credit investment teams to define areas of research and relevant datasets to analyze and onboard.
  • Work with the Investment and Market Systems (IMS) and End-User Computing (EUC) teams on the development of, and our interface to, our enterprise data management platform.  
  • Define and own equity-related data architecture that is not centrally managed by the IMS team.
  • Build and manage data pipelines to extract and cleanse raw data and archive into a high-performance production environment to be used for quantitative research.
  • Assist in the development of an internal quantitative research platform and associated APIs.
  • Write effective documentation and research reports communicating complex quantitative topics and relationships effectively to non-technical stakeholders.

Technical Competencies, Skills and Experience

 Key Competencies:

  • Professional experience of statistical modelling of time series data, ideally financial and with a STEM degree with post-graduate research in the field.
  • Expert knowledge of data architecture and storage, ideally SQL Server, as well as advanced Python skills with experience of writing and deploying production-level code.
  • Have opinions on database best practice and associated technologies such as ORMs.
  • Experience supporting quantitative research tools such as backtesting engines, returns analysis frameworks, optimization tools and machine learning models.
  • Experience of Python data analysis libraries such as Pandas, NumPy, SciPy, Scikit-learn, etc.
  • Experienced writing technical documentation and using version control frameworks such as Git.

General Skills and Experience:

  • Ability to think independently and own technical decisions.
  • Fast learner with a natural curiosity of new technologies and approaches.
  • Excellent data communication skills, written or verbal.
  • Strong compliance culture and high personal ethical standards.
Plus d'offres de Universities Superannuation Scheme Limited
Senior Analyst - Equities
Universities Superannuation Scheme Limited
United Kingdom, London
il y a 3 jours Full time Competitive plus Bonus/Benefits
Senior Portfolio Manager Developed Markets Equities
Universities Superannuation Scheme Limited
United Kingdom, London
il y a 3 jours Full time Competitive plus Bonus/Benefits
Net Zero Senior Developer
Universities Superannuation Scheme Limited
United Kingdom, London
il y a 8 jours Full time Competitive plus Bonus/Benefits
Project Manager – Fixed Income and Treasury
Universities Superannuation Scheme Limited
United Kingdom, London
il y a 21 jours Full time Competitive plus Bonus/Benefits
Credit Asset Manager
Universities Superannuation Scheme Limited
United Kingdom, London
il y a environ 1 mois Full time Competitive plus Benefits
Plus d'offres d'emploi
Anson McCade
Machine Learning Researcher/Data Scientist
Anson McCade
United Kingdom, London
S.R Investment Partners
Senior Quant Trader Data - NLP
S.R Investment Partners
United Kingdom, London
Data Scientist / Developer
Ad Astra Holdings Inc.
United Kingdom, London
Bloomberg
Data Scientist - ESG Quant Strategy
Bloomberg
United Kingdom, London