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Build and maintain high-performance Java applications for a leading investment bank’s front-office rates team, collaborating with traders and quants to deliver low-latency trading solutions.
Senior Java developer building scalable microservices and APIs for financial crime compliance using Spring Boot, Kafka, and cloud-native tools in a regulated fintech environment.
Build and maintain Java-based financial systems using Spring and microservices, integrating AI tools to enhance development workflows and ensure robust, scalable solutions for global banking.
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow…
Lead the design and development of scalable Java services and cloud-native microservices on AWS and Kubernetes, guiding teams and driving DevOps practices.
Overview Insight Global is seeking a mid-level Java Developer for one of their premier financial services clients in Birmingham, UK. As a Java Developer on this team, you will play a crucial role in a strategic project…
Join a digital transformation team in Birmingham to build new platforms from scratch using .NET and React, shaping development standards and technical direction for scalable applications
Build greenfield business applications using .NET and React/Next.js as part of a client's digital transformation in Birmingham, working the full SDLC and helping shape architecture and technical direction.
Build backend services in Python (Flask/FastAPI) and contribute to frontend in Angular for a global organization. Role involves agile processes, code reviews, and shaping scalable software solutions.
Python Developer role at a manufacturing company in Birmingham, working on internal applications, APIs, integrations, and data pipelines using Python, React, TypeScript, SQL, FastAPI, BigQuery, MongoDB, and GCP.
Senior Python Developer building backend applications and data processing pipelines for trading and risk management systems in investment banking at CRISIL's London office.
Senior Python Developer working on-site in Birmingham to develop, support and enhance business-critical applications, data platforms, integrations and automation solutions using Python, React, TypeScript, SQL, FastAPI, BigQuery, MongoDB and GCP.
C++ Software Developer/Engineer working on low latency trading platforms using C/C++ in an agile environment. Core technologies include C++, STL/Boost, Linux/Unix, and scripting languages like BASH, Perl, and Python.
Quantitative Risk Engineer designing and developing production-grade risk analytics solutions using Python. Works with cross-functional teams to build scalable platforms supporting risk and margin initiatives in a financial markets organization.
DevOps Security Consultant for a banking client, focusing on cybersecurity in regulated financial environments and DevOps platforms like CI/CD, build tools, and artifact repositories.
Designs and delivers mission-critical data services for National Security clients, building robust data pipelines using Python, Apache Spark, NiFi, and cloud technologies to process diverse data sources at scale.
Lead offshore teams and manage end-to-end operations for Azure-based data platforms, including Databricks, Data Factory, and Synapse. You will design data pipelines, ensure platform stability, and support analytics initiatives within a financial services context.
Develop AI, GenAI and Agentic AI prototypes using Azure, Databricks, and LangChain for a Trading & Supply team. Responsibilities include building RAG solutions, deploying agents, and managing scalable AI workflows with Python and SQL.
Builds and maintains data pipelines, ETL processes, and regulatory reports for a fintech bank, using SSIS, C#, .NET, and SQL to automate workflows and support internal systems like CORE and SharePoint.
Data Engineer in the sports betting industry working with a quant team to build Python-based data workflows, ensure data quality, and support quantitative analysis using tools like PostgreSQL and SQL.
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