You will work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, and MongoDB. The team designs and delivers real-time, high-performance trading systems for Energy & Commodities, integrating market data, risk, and front-to-back office workflows.

Java back-end developer using microservices, REST APIs, AWS (Lambda, EKS, RDS, S3, MSK), CI/CD, and AI tools (GitHub Copilot, LLMs). Builds next-gen trading and cash management systems for the Short-Term, Cash, and Collateral desks, modernizing platforms and migrating to AWS.

Use Python, Azure, Docker, Kubernetes, Apache Airflow, and GitHub Actions to build scalable ETL pipelines, financial data pipelines, and cloud-native infrastructure. This front-office role is at a systematic equity hedge fund modernising its quantitative research platform, working directly with portfolio managers and researchers. Experience with S&P Xpressfeed, Snowflake, Bloomberg, MSCI Barra, Databricks, and LLMs is advantageous.

Rebuild data infrastructure for a market-neutral systematic equities fund using Python, Microsoft Azure, Docker, Azure Kubernetes, Apache Airflow, and GitHub Actions for CI/CD. Work on ETL pipelines, vendor integration, and cloud-based research platforms, with relevant experience in Snowflake, Bloomberg, MSCI Barra, or Databricks. The role spans data engineering and quantitative development to transform financial data into investment signals.

Work with AWS Bedrock, LLMs, AI agents, web frameworks and full-stack engineering to design and deliver a customer-facing compiler and interface for natural-language financial markets analytics. This role integrates AI into TradingHub’s trade surveillance platforms, building multi-layered agents that interpret queries and generate responses.

Use Python, PyTorch, TensorFlow, scikit-learn, LLMs, NLP, and SQL to build and deploy ML models for trade surveillance. You'll enhance analytics that detect market manipulation by analyzing trader behavior and order execution. Collaborate

ExxonMobil★3.9 (5.7k)· London

Work as a Full Stack Developer using Python, Node.js, React or Angular, SQL/PostgreSQL/MongoDB, and cloud platforms like Azure/AWS/GCP. You will build and maintain scalable web applications, APIs, dashboards, databases, and data pipelines to support ExxonMobil's Global Trading organization's commercial and trading activities.

You will design, build, and operate AWS infrastructure, engineer Kubernetes environments (EKS, Docker, Helm), and use Terraform for infrastructure-as-code. You will support critical investment and trading systems, improve CI/CD pipelines with GitHub Actions and GitOps (Argo CD), and work with databases like Snowflake, Aurora, and SQL Server. You will take end-to-end ownership of production systems, solve complex problems across distributed environments, and influence cloud architecture and reliability standards.

You will work with front-end technologies (HTML, CSS, JavaScript, React, Angular), back-end (Python, Node.js), databases (SQL, PostgreSQL, MongoDB), and cloud platforms (Azure, AWS, Google Cloud). You will design and maintain applications supporting commodity trading, market analysis, and risk management within ExxonMobil's Global Trading organization.

Use Python, Azure, Docker, Kubernetes, Apache Airflow, and GitHub Actions to modernize a systematic equity hedge fund’s quantitative research and engineering platform. You will build scalable ETL pipelines, cloud-native infrastructure, and research-ready datasets, working directly with portfolio managers and quantitative researchers.

ExxonMobil★3.9 (5.7k)· London

Full stack developer using React or Angular, Python or Node.js, SQL/PostgreSQL/MongoDB, and cloud platforms (Azure, AWS, Google Cloud). Builds and maintains web applications, APIs, and data pipelines supporting commodity trading, market analysis, and risk management within ExxonMobil’s Global Trading organization.

You will use Python, SQL, and relational databases to design, implement, and support fixed income pricing tools. The team develops and maintains scalable production software for daily pricing and supports research into new pricing algorithms using traditional ML and LLMs.

Senior C# .NET Developer working on high-performance applications for Global Markets IT. You will use C#, .NET, MS SQL, and DevOps/CI/CD tooling to build event-driven architectures supporting XVA, Liquidity and Financial Resource Management, collaborating with Front Office stakeholders.

You will work with Playwright, JavaScript, TypeScript, automation frameworks and CI/CD pipelines on a strategic front‑office derivatives trading platform, embedded within the bank’s Front Office Derivatives Technology team.

Python, Microsoft Azure, Docker, Azure Kubernetes, Apache Airflow, GitHub Actions, Snowflake, Databricks, and OpenAI LLMs. The role rebuilds data infrastructure and transforms financial data into research-ready datasets and signals for a fully systematic market-neutral equity fund.

Grid Dynamics★3.4 (19)· London

Build high-performance React and TypeScript trading applications using WebSockets, RSocket, and streaming market data. Work within an embedded team modernising a Tier 1 investment bank’s electronic trading platforms, migrating legacy Angular apps to React. Collaborate with backend Java engineers on mission-critical front-office systems.

You will work with Python, SQL, LLMs, LRMs, and multi-agent architectures to build ML/NLP-powered solutions for alpha generation and financial workflows. The team creates alpha-generating datasets and develops intelligent agents and workflow solutions for quantitative investment use cases at RavenPack.

TP ICAP★3.1 (34)· London

You will work with React, TypeScript, C#, .NET, Java, SQL, GitLab, CI/CD, and AWS. As part of the Equities technology team, you will contribute to front-end and back-end software for internal broking users and external customers.

Build high-throughput data pipelines, deploy LLMs and ML models, and develop AI tooling working with Python, Spark, Databricks, Airflow, Kafka, KDB, AWS/GCP/Azure, and Kubernetes. The role supports a global investment firm where technology drives performance, building data platforms and AI systems directly used by Portfolio Managers to uncover alpha.

Use TypeScript, ES6, HTML5, advanced CSS, RxJS, and optionally Angular+NgRx or React+Redux. Build a next-generation SPA platform for high-performance derivatives trading in a front-office investment bank environment.

Build UI components using React.js, TypeScript, JavaScript, HTML5, CSS3/SASS, and state management tools. You will join the Global Markets Technology team at a leading investment bank, designing responsive, data-driven interfaces for trading, risk, and analytics platforms.

Work with React (or similar JavaScript frameworks), Python, Go, or Java, building APIs with REST, gRPC, NATS, AMPS, or Kafka, and handling data/storage layers. You will own end-to-end features for the firm’s proprietary trading and risk platforms, supporting real-time pricing, risk management, and execution across global commodities markets.

You will work with C#/.NET, MS SQL, event-driven architectures, and AI tools including LLMs and Agentic AI. This Front Office technology team delivers strategic applications for Liquidity, XVA, and Financial Resource Management, supporting a migration to modern event-driven platforms.

Hudson River Trading★4.5 (2)· London

This role develops and improves large-scale model training for HRT's “foundation models for markets,” covering kernel development (CUDA/Triton/Pallas/CuTe), parallelism, and networking. You will work on PyTorch, JAX, and XLA, co-designing models with researchers to make predictions about future market states.