Senior Software Engineer – Risk Services (Java / Python)
- london, england, United Kingdom
- Job type not listed
- £90 - £130 Per Hour
Job Description
We are seeking aSenior Software Engineerto join theRisk Services team within GlobalMarkets.This role focuses on designing and buildingscalable, distributed systemsthat supportrisk data processing,analyticsandreporting workflows.
The ideal candidate will have strong experience acrossJava and Python-based backend systems, with a solid understanding ofrisk data flows, distributedarchitecturesandenterprise-grade platforms.
Key Responsibilities
Design, developandenhancebackend services and distributed systemssupporting risk data and analytics platforms
Build andmaintainscalable applicationsusingJava (Spring / Spring Boot) and Python
Work withlarge datasetsto support risk calculations, reportinganddownstream analytics
Collaborate withrisk, front-officeanddata teamsto translate requirements into robust technical solutions
Participate incode reviews, testingandrelease processesensuring high-quality delivery
Troubleshoot and resolve issues inproduction systems, focusing on stability and performance
Must-Have Skills
Strong experience inJava (Spring / Spring Boot)andPython development
Proven experience buildingdistributed systems and microservices architectures
Strong understanding ofdata structures,algorithmsandsystem design principles
Hands-on experience working withlarge-scale data processing systems
Experience withmessaging frameworks(e.g., Kafka, MQ)
Strong working knowledge ofUnix/Linux environments
Experience withXML and enterprise data integration patterns
Experience withmodern development practices, including CI/CD pipelines, Build and deployment processes,Unitand integration testing
Domain Experience (Preferred)
Exposure torisk data flows and analytics pipelineswithin capital markets
Familiarity with Risk reporting systems, TradelifecycleandPnLworkflows
Experience working inenterprise financial platformsor similar large-scale environments
Good-to-Have
Exposure tohigh-performance or low-latency systems
Experience withdata streaming and real-time processing frameworks
Familiarity withcloud or containerization technologies(Docker, Kubernetes)
Prior experience inglobal banking or financial services environments
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