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Текст:
Hirify AI/Оригинал
TL;DR
Associate Quantitative Engineer (C++/C#/Python): Building and supporting market-data broking screens, data pipelines, reusable pricing libraries, and microservices for a global financial markets platform with an accent on financial analytics, production reliability, and data retrieval. Focus on translating ambiguous business requirements into deployable components, moving analytics into reusable functions, and optimizing screen development and deployment.
Location: Hybrid role based in London, United Kingdom
Company
hirify.global provides market infrastructure and access to global financial and commodities markets through liquidity, data, and trading solutions.
What you will do
Create, enhance, and support broking screens across Fixed Income, Interest Rate Derivatives, FX Derivatives, Energy, and Commodities.
Support production systems and data pipelines, fix issues, and identify improvements.
Own projects through completion and deliver high-quality engineering results.
Move analytics from screen cells into reusable library functions and document pricing logic.
Build microservices that translate business requirements into deployable components.
Improve screen development, deployment, search, and data retrieval capabilities while using AI tools and modern workflows.
Requirements
Degree in Computer Science, Engineering, or Physics.
Demonstrable programming ability in at least one of C++, C#, or Python.
Builder mindset, comfort with ambiguity, and willingness to ask questions and iterate toward solutions.
Self-starter willing to handle both quick fixes and larger project work.
Curiosity about financial markets and codebases.
Eagerness to adopt new technologies, including AI-powered tooling.
Clear and direct communication.
The role is engineering-focused rather than a pure research or quantitative modelling position and requires independently determining implementation approaches when specifications are incomplete.
Nice to have
Prior exposure to financial markets.
Culture & Benefits
Full-time hybrid work based in London.
Guidance and support from experienced colleagues while learning the financial domain and platform.
Inclusive working environment focused on collaboration, diversity, and continuous cultural improvement.
Professional / 4 job band and level.
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