Software Engineer (Quantitative Finance)

Job Type:
Cloud & Infrastructure
Job reference:
14 days ago

Job Title: Software Engineer (Quant Library Development)
Location: Canary Wharf, London
Working Model: Hybrid - twice a week in the office
Duration: 6 months - 9 months with further extension into the new year
Daily Rate Available: up to £900 Umbrella (depending on experience)
Inside IR35 via Umbrella: Paystream, Danbro, Focused

We require a contractor to join our team with a strong python and software engineering skill set who wants to gain experience within the finance sector specifically in quantitative finance

Skill Set Required:

  • Strong interpersonal and communication ability.
  • Strong knowledge of Python and core python libraries like pandas and numpy.
  • Strong knowledge in Software Engineering, Object Oriented Design and Design Patterns.
  • Deep understanding of software architecture in particular in distributed systems.
  • Deep understanding of algorithms and data structures.
  • Knowledge of software development lifecycle/methodologies, Agile/TDD/XP.
  • Knowledge of Valuation, Risk and Analytics.
  • Knowledge of REST, gRPC, Apache Beam, Docker and Kubernetes is a nice to have.

The software engineer is responsible for

  • design, build and implementation of GRA Traded Risk Quantitative libraries. The success of this library will be measured against the time to deployment, time of turnover on bugs, test KPIs
  • delivery of a coding environment that is easy to use, is robust and can be fully re-used
  • managing and reducing the time to develop new models with in Traded Risk
  • work closely with GRA Quant Analysts, IT and Front Office to create synergies across different functions and departments
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