Work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, MongoDB, and optionally Kubernetes to architect real-time, high-performance trading systems for energy and commodities markets, integrating market data, risk, and back-office platforms.

Build high-performance front ends using React, TypeScript, JavaScript, React Hooks, and ES6/ES7 within a leading HFT firm's trading environment.

Lead Pricing Engineer at Citi's FX eTrading team, working with Java to build and optimize low-latency trading systems. Role involves hands-on technical implementation, system architecture, and managing a team of engineers.

Senior Low Latency Engineer working with Java, C++, Rust, KDB, market data, algorithmic trading, microservices, event sourcing, Linux, and kernel bypass technologies. The High Performance Architectures team produces application frameworks to modernise low latency eTrading platforms across over 100 teams at Citi.

You will work with Rust, Java, C++, KDB, market data, algorithmic trading technology, and low-latency frameworks including kernel bypass. As part of Citi’s High Performance Architectures team, you will build microservices-based event sourcing systems for low-latency eTrading platforms, engaging with over 100 teams across Markets Technology. This senior role involves hands-on coding, leading integration, and mentoring junior developers.

A C# Developer using .Net Framework 4.5+ and .Net 5+, with unit testing frameworks like NUnit, xUnit, Shouldly, and web technologies including REST, authentication, TLS, and tools like Git and CI/CD. The role supports the Equities Technology team at Citi in building a global platform for execution, prime, clearing, and cross-product margining.

You'll work with Core Java, Aeron, FIX, SBE, Artio, Linux, and performance profiling tools. The team develops a high-performance electronic trading platform focused on microsecond-level latency.

You will work with Power BI, SQL, NoSQL/MongoDB, Linux/Unix, modern cloud technologies, and optionally C#, Python, or Java. The role is with a hyper-scaling fintech start-up building a market-altering financial product.

Work with server-side Java, multithreaded development, low-latency applications, enterprise messaging (multicast, low-latency platforms), FIX, and time-series databases (kdb+). The team builds high-performance, distributed systems for global FX electronic trading, managing liquidity, real-time pricing, order execution, and algorithmic trading strategies.

Develops low-latency pricing, eTrading and eRisk components for Rates and FX products (forwards, futures, swaps, bonds) using server-side Java, kdb+/q, Python and CI/CD/testing frameworks.

You will work with Java, microservices, REST APIs, event-driven architectures, AWS (Lambda, EKS, RDS, S3, MSK), containerization, CI/CD, TDD, and AI tools like GitHub Copilot and LLMs. This role builds next-generation trading and cash management systems for PIMCO's Short Term, Cash, and Collateral desks, modernizing platforms and migrating to cloud-native AWS services.

Java and Python developer with 4+ years experience building and maintaining data infrastructure and reporting tools for PIMCO's middle office transformation. Work involves cloud-ready distributed systems, SQL/NoSQL databases, RESTful APIs, Kafka, and caching technologies.

You will work with Java 11+, Spring Boot, microservices, event-driven architecture, cloud platforms (Azure, AWS, GCP), Terraform, CI/CD (Azure DevOps, GitHub, Jenkins), and AI development tools. The team builds post-trade technology solutions, APIs, client reporting platforms, and customises trading systems for capital markets.

Build and lead development of high-performance Java applications for FX risk management, using AI tools (GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces with Gemini/OpenAI/Claude/Llama) and modern DevOps (Docker, Kubernetes, OpenShift, CI/CD). The greenfield platform is 3 years in production with a 10+ year strategic commitment.

You’ll use Python, Java, or Scala with AWS, Kubernetes, Terraform, CloudFormation, Airflow, Dask, JupyterHub, Bazel, and CI/CD to design, build, and run the distributed-compute and data-science platform powering Macquarie’s Commodities and Global Markets trading and analytics workflows.

Lead Engineer role using React or similar component-oriented front-end frameworks, TypeScript, Azure, and CI/CD pipelines. The digital team builds customer-facing retirement, investment, and protection products for Canada Life UK. You will set UI/UX and accessibility standards across a cross-functional product team.

Work with Terraform, Ansible, Kubernetes, Prometheus, Grafana, Python, Bash, Go, Jenkins, and both Ubuntu and Windows Server. As a member of Man Group’s Platform Engineering team, you will build and maintain infrastructure automation and self-service platforms supporting the firm’s global quantitative research and trading systems.

You will work with AWS (EC2, S3, VPC), Python or Bash, CI/CD tools (Jenkins, GitLab CI), Terraform, CloudFormation or AWS CDK, Docker, and Kubernetes. This role is on the Cloud Infrastructure team, building cloud platforms to support trading and research for a tech-driven quant and systematic hedge fund trading digital asset and crypto-related systems. You will serve trading, research, and development teams.

Python, Microsoft Azure, Docker, Azure Kubernetes, Apache Airflow, GitHub Actions, S&P Xpressfeed, Snowflake, Bloomberg, MSCI Barra, Databricks, OpenAI LLMs, and Claude Code. You will rebuild data infrastructure and transform financial data into research-ready datasets and investment signals for a fully systematic, market-neutral equity fund.

You will work with Linux, AWS, Datadog, Prometheus, CloudWatch, ELK, Docker, Kubernetes, CI/CD pipelines, and scripting in Python or Bash. As a member of a hedge fund’s platform team, you will support and maintain the critical research and trading infrastructure that underpins investment decisions.

You will work with Python and large datasets (SQL, advanced .NET a plus) to research predictive signals from order book dynamics, trade flow, and market microstructure. This proprietary trading firm designs and deploys systematic HFT and market-making strategies for cryptocurrency markets, trading exclusively with its own capital. As a senior quantitative researcher, you will own the complete research lifecycle from hypothesis through live production.

You will work primarily with C# and .NET, alongside Python, and the team is open to other OO backgrounds like C++, Java, or Go. The role involves designing and building high-impact trading and research platforms for a fixed income hedge fund's front-office engineering team.

You'll work with enterprise Java, Oracle, Hadoop, Elasticsearch, and LLMs (e.g., Llama, ChatGPT) while re-architecting a tier-one financial institution's core mission-critical workflow engine, integrating AI and intelligent automation to scale from hundreds to thousands of concurrent users. You'll also lead architectural design, mentoring, and automated testing across the platform.