Jobs at Graviton Research Capital LLP

Build and optimize high-performance, low-latency software for quantitative research and live trading. Responsibilities include developing distributed systems in C++, working with Linux, networking, concurrency, and multithreading, profiling and optimizing performance, debugging production systems, and owning solutions from design through deployment and monitoring. Collaborate with quantitative researchers and engineers on reliable infrastructure, developer tools, and intelligent automation.

Conduct quantitative research for systematic trading by formulating hypotheses, analyzing massive market datasets, developing predictive models and signals, and validating strategies through rigorous backtesting and statistical testing. Investigate market microstructure, distinguish genuine patterns from noise, build AI-powered research tools, and collaborate with technologists to move promising ideas into production and live trading. The role requires ownership, rigorous reasoning, strong communication, and comfort with ambiguous research problems.

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 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.

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.

Monitor and support production trading systems; respond to alerts and incidents; triage issues across services, databases, and infra; drive root-cause analysis and fixes; improve observability and automation; maintain runbooks and SLO/SLA metrics.

Develop and enhance high-frequency trading strategies by analyzing large financial datasets, building predictive models, writing scalable C++/Python scripts, implementing monitoring and post-trade systems, and collaborating with traders on deployment and performance improvements.

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.