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Data Analytics Acceleration Library C++ Developer, London

TN United Kingdom

London

On-site

GBP 45,000 - 80,000

Full time

12 days ago

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Job summary

An innovative firm is looking for a skilled Data Analytics Acceleration Library C++ Developer to enhance high-speed data analysis. This role involves designing custom software libraries and APIs, working closely with a diverse team of mathematicians, algorithm designers, and traders. The ideal candidate will possess a strong quantitative background, particularly in C++ programming and numerical algorithms. Join this exciting opportunity to tackle complex data analytics challenges and contribute to cutting-edge financial solutions in a dynamic environment.

Qualifications

  • Strong background in quantitative programming and algorithmic computation.
  • Experience in designing software libraries and APIs for data analytics.

Responsibilities

  • Optimize high-speed data analysis using algorithmic computation.
  • Collaborate with mathematicians and software engineers on analytics problems.

Skills

C++ programming
Implementing numerical algorithms
Software library and API design
Financial risk modeling
Data analytics algorithms

Education

Degree in Mathematics
Postgraduate qualification in Physics
Degree in Computer Science

Job description

Social network you want to login/join with:

Data Analytics Acceleration Library C++ Developer, London, London

Client: Expert Employment

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference:

6d9a2bb8c25e

Job Views:

6

Posted:

26.04.2025

Expiry Date:

10.06.2025

Job Description:

We are seeking a highly numerate / quantitative programmer to work on the optimization of high-speed data analysis using algorithmic computation. The role involves designing bespoke software libraries and APIs. The successful candidate will collaborate with mathematicians, algorithm designers, software engineers, quantitative traders, and application developers on customer streaming data analytics problems. Ideally, you will have experience in:

  • C++ programming
  • Implementing numerical algorithms
  • Software library and API design
  • A strong degree and/or postgraduate qualification in Mathematics, Physics, Computer Science, or related disciplines
  • Financial risk modeling
  • Data analytics algorithms and streaming data

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