Jobs at Graviton Research Capital LLP

Eight-week internship owning a scoped component of a live ultra-low-latency trading stack. Write and tune low-latency C++ or VHDL/Verilog, build benchmarking and monitoring tooling, profile critical C++ paths, collaborate with hardware/network/quant engineers, and deliver a measurable latency improvement or production component.

Two-month software engineering internship building production-quality, high-performance C++ systems for trading and research. Work on low-latency, distributed Linux-based infrastructure, debug and optimize live systems, participate in code reviews, and deliver projects with mentorship and potential return offer.

Two-month quant research internship working on live trading research: analyze large market datasets, design and evaluate predictive/statistical models, build research tools, collaborate with traders and technologists, and monitor model performance to inform trading strategies.

Analyze production trades and work with senior traders to implement and improve automated trading strategies. Build monitoring and post-trade systems, develop risk attribution and performance analytics, implement market-data analysis tools, and manage deployments and release cycles using Python, C++, and shell scripting.

As a Python Developer, you will design efficient scripts, create data visualizations, and optimize data processing pipelines while collaborating with teams to gather requirements.

Build scalable software tools for quantitative researchers: post-trade analytics, centralized market-data analysis, and C++/Python scripts for simulations, risk attribution, and performance breakdowns. Mentor junior developers and work in Linux environments.

The Support Engineer will ensure reliability of databases and trading systems by monitoring and resolving production issues, enhancing stability, and building automation.

Develop and improve trading models, apply advanced mathematical techniques to predict market movements, analyze large financial datasets for opportunities, and provide real-time analytical support to traders.

Seeking a Software Engineer to build and maintain scalable backend applications, troubleshoot issues, and collaborate with other team members in a fast-paced trading environment.

Manage front desk and visitor/call enquiries, maintain reception and meeting spaces, coordinate supplies and vendors, keep filing systems up to date, and support meetings and events (logistics and AV).

The Quantitative Researcher will develop trading models, analyze financial datasets, and support traders using advanced mathematical techniques.

The HPC Engineer will deploy High-Performance Clusters, manage cluster tools, and provide user support, requiring experience in HPC and programming.

The role involves managing the development lifecycle for C++ systems, leading Agile practices, and ensuring delivery timelines while identifying technical issues.

As a Machine Learning Researcher, you'll lead research in applying ML to trading problems, develop deep learning models, and collaborate with quant researchers.

Design and implement a high-frequency automated trading system, optimize performance, and support modules, while aiding in team growth.

Maintain accurate general ledger; execute month-end and year-end close; prepare accounts payable, journal entries, accruals, reconciliations and bank wires; produce financial statements and management reports; monitor cash flow; support audits, tax filings and regulatory compliance; maintain controls and documentation; identify accounting automation opportunities; liaise with banks, auditors, tax agents and external providers.

Design, deploy, and troubleshoot low-latency network connectivity for trading, support data center and office networks, perform moves/changes and market connectivity tests, coordinate with third parties and remote hands for global datacenter support.

Manage daily trade bookings, reconciliations, settlements, corporate actions, and reporting across the trade lifecycle. Liaise with counterparties, custodians and prime brokers to resolve issues and onboard business. Drive process improvements and implement automation and data-management solutions to increase operational efficiency and scalability in a trading environment.