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# Senior Python Engineer - Quantitative Trading - Selby Jennings

- **Company:** Yesterday By Efinancialcareers
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Software Design Patterns, Distributed Systems, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, Software Engineering, SQL Databases, Systems Architecture, Backend, Event Driven Architecture
- **Published:** September 22, 2026
- **Apply:** https://www.reed.co.uk/jobs/senior-python-engineer-quantitative-trading-selby-jennings/57375059

## About the Role

* Strong commercial experience developing software in Python.
 * Experience within trading, market making, electronic trading or financial markets technology.
 * Strong knowledge of Linux environments and operating systems.
 * Solid SQL and PostgreSQL experience.
 * Experience building and operating production-grade backend systems.
 * Exposure to market data, execution systems, position management, reconciliation or settlement platforms.
 * Knowledge of C++ or other performance-oriented languages.
 * Strong understanding of software engineering fundamentals, design patterns and system architecture.
 * Experience working with distributed systems, messaging platforms or event-driven architectures.
 * Excellent problem-solving skills and ability to work independently.
 * Comfortable working directly with technical and non-technical stakeholders.

## Description

* Design,buildandmaintainbusiness-criticaltradinginfrastructureandbackendservices.
 * Developsystemsacrosstradecapture,positionmanagement,reconciliationandsettlementworkflows.
 * Buildscalabledataplatformstosupporttrading,riskandoperationalprocesses.
 * Createinternaltoolingusedbytraders,quantitativeresearchersandoperationsteams.
 * Improvetheperformance,reliabilityandscalabilityofexistingsystems.
 * Collaboratecloselywithstakeholdersacrossengineering,trading,quantitativeresearchandoperations.
 * Takeownershipofprojectsfromdesignthroughtoproductiondeploymentandsupport.
 * Contributetoarchitecturaldecisionsandengineeringbestpracticesacrosstheplatform.
 * Troubleshootcomplexproductionissuesandcontinuouslyimprovesystemresilience.


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