Base

Data Scientist (Fixed Income, Quant Trading)

london, south east england, United Kingdom Azienda: JR UK Cliente / Datore di lavoro: NJF Global Holdings Ltd
Pubblicato: 19.05.2026
Data di chiusura: 03.07.2026
Referenze lavorative: 4a7fe271fa46c46927c584bd49ffec9a

Informazioni sul lavoro

Posizione
london, south east england, United Kingdom
Azienda
JR UK
Cliente / Datore di lavoro
NJF Global Holdings Ltd
Referenze lavorative
4a7fe271fa46c46927c584bd49ffec9a
Tipo di elenco
Base
Permesso di lavoro UE richiesto
No
Pubblicato
19.05.2026
Data di chiusura
03.07.2026

Descrizione del lavoro

Data Scientist (Fixed Income, Quant Trading)

Salary: £100k-150k

Total compensation: TBC - based on seniority and performance.


A top-tier global quant and systematic investment manager is hiring a Data Scientist with a strong Fixed Income background.


This is a cross-functional role at the intersection of Research, Trading, and Engineering — with direct ownership of how Fixed Income data is sourced, structured, and deployed across the firm's strategies.


The Role

  • Working closely with Quantitative Researchers, Traders, and Engineers, you'll design datasets that power systematic strategies and inform discretionary trading.
  • Extracting, cleaning, and aggregating data from diverse raw sources (market data, reference data, pricing feeds)
  • Automating and optimising pipelines
  • Managing end-to-end onboarding of Fixed Income datasets spanning bonds, rates, credit, and derivatives.
  • There's also genuine scope to experiment with novel extraction methods and shape the firm's data toolkit.


Your Background

  • 2+ years working with Fixed Income data in a Data Scientist or equivalent role
  • Solid grasp of Fixed Income markets — bonds, rates, credit, yield curves, derivatives
  • Postgraduate degree in a quantitative discipline (Maths, Physics, Engineering, or similar)
  • Advanced Python with strong Pandas/NumPy proficiency
  • Proven end-to-end pipeline experience, from sourcing and extraction through to delivery
  • Strong communicator, comfortable across researchers, traders, engineers, and vendors
  • At ease in a high-performance, fast-moving environment

Abilità

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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