Skip to content
config('app.name')

Quant Developer (Performance Optimisation)

AMS

London, UK, London
IT

Role

Job Description


We are AMS. We are a global total workforce solutions firm; we enable organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) is one of our service offerings; we act as an extension of our clients' recruitment team and provide professional interim and temporary resources.

Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.

On behalf of this organisation, AMS are looking for a Quant Developer (Performance Optimisation) for a 6 Months contract based in London (Hyrbid - 2 times per week in the office)

Purpose of the Role:

As a Quant Developer (Performance Optimisation), you'll be responsible for improving data quality and, once the data is verified, handling various computational and analytical tasks. Your work will include quantitative analysis, simulations, asset modelling, performance optimisation, and data-driven decision-making.

Responsibilities of the role:

As a Quant Developer (Performance Optimisation) you will be responsible for:

  • Evaluate and ensure the quality of data, building and automating data processes.
  • Conduct quantitative analysis and simulations to predict future performance of assets under various scenarios.
  • Develop and implement efficient algorithms and code to optimise performance.
  • Analyse and improve the performance of existing systems and processes.
  • Collaborate with analysts and developers to ensure data integrity and reliability.
  • Work with large datasets, performing calculations and projections in a tractable and timely manner.
  • Focus on implementation and practical application of quantitative methods.

What we require from the candidate:

  • Proven experience as a Quant Developer, with a focus on Performance Optimisation.
  • Experience in Python.
  • Solid quantitative analysis skills, with experience in algorithms ( e.g trading algorithms, data engineering, anti-money laundering algorithms), simulations, and statistical analysis.
  • Strong understanding of memory management, including memory allocation and computational efficiency to ensure results are obtained in a reasonable timeframe.
  • Experience in financial services or a related industry.
  • Knowledge of data automation processes and tools.
  • Familiarity with performance metrics and optimisation techniques.

Next steps

This client will only accept workers operating via an Umbrella or PAYE engagement model.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business
Apply