Summary

We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1.

You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies.

Example projects:

The team has helped develop a number of modular building blocks

1. Low-latency Algorithms for Automated Trading and Systematic Market Making
2. Real-time streaming pipelines and signals
3. Pricing libraries and tooling
4. Venue connectivity for automated fund movement and management.

By the end of 2025 where we want to be

1. Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products.
2. Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners.
3. Continuing to support and complement Ripple’s Payments, Custody and Stablecoin business units

WHAT YOU’LL DO:

1. Conduct quantitative research to identify, test, and refine alpha signals and systematic trading strategies across asset classes.
2. Design and rigorously backtest trading models, ensuring statistical robustness and real-world applicability.
3. Develop and optimize execution algorithms (VWAP, TWAP, Participation, SOR) to enhance trading performance and minimize market impact.
4. Monitor and maintain real-time trading systems, proactively addressing issues in execution, risk, and P&L.
5. Perform post-trade and transaction cost analysis (TCA) to continuously improve execution quality and strategy effectiveness.
6. Work across the full data pipeline—sourcing, cleaning, and managing large datasets for signal generation and backtesting.
7. Contribute to the development and maintenance of trading infrastructure, including EMS, OMS, and backtesting frameworks.
8. Collaborate with researchers, traders, and engineers to improve strategy design, infrastructure resilience, and operational excellence.

WHAT YOU'LL BRING: 

1. 5+ years of software development experience in quantitative trading, with strong skills in Java and/or Python.
2. Proficient in Python’s data science ecosystem (Pandas, NumPy, Scikit-learn) with solid debugging and analytical capabilities.
3. Demonstrated experience implementing trading algorithms and working on large-scale distributed systems.
4. Familiarity with transactional systems using modern databases like Aurora or DynamoDB.
5. Exposure to front-office trading environments, ideally with FX or crypto markets.
6. Hands-on experience with containerized deployments (Kubernetes, Nomad) and Agile development practices.
7. Passion for clean, testable code with a strong emphasis on automated testing and scalable system design.
8. A collaborative mindset, eagerness to learn, and drive to elevate engineering standards across the team.

Skills

• Cryptocurrency
• Development
• Java
• Python
• Software Engineering
• Team Collaboration