Summary

Ripple is expanding, and we are seeking a dynamic and versatile Quant Trader for our London and Singapore office. This role is pivotal for a proactive, innovative individual who excels in a quantifiable performance environments. We’re looking for an inquisitive and adaptable professional who is looking for a high-impact role with a rapidly growing company at the intersection of finance and technology.

WHAT YOU WILL DO:

1. Operating proprietary systems in accordance with the trading desk’s objectives.
2. Monitoring trading activity and positions consistently throughout the shift.
3. Performing research and post-trade analysis using the firm's research tools on various algorithmic trading strategies to improve profitability of existing models.
4. Applying expertise in market microstructure, historical tick data, and quantitative modeling to conduct research and develop new sources of alpha.
5. Working closely with strategy developers to collaborate, propose, and test certain strategy-specific code changes related to execution, pricing, and risk management.
6. Communicating with risk managers and internal technology groups regarding production issues.
7. Working with the teams to solve for trade breaks, position, and activity reconciliation exceptions.
8. This role may include out of hours shifts (remote)

WHAT YOU WILL BRING: 

1. Bachelor's degree in Computer Science, Engineering or a related analytical field.
2. At least 4 years of experience in trading, finance, or related fields, with a focus on digital assets and FX.
3. Strong analytical, quantitative and math skills.
4. Experience in Python, Java a plus
5. Passion for FinTech, markets, and technological innovation in trading.
6. Excellent verbal and written communication skills, with attention to detail.
7. Demonstrated strong work ethic and interpersonal skills focused on contributing to the success of the trading desk.
8. Work in a team environment 7x24x365 with the ability to function with independent discretion during rotating shift work.

Skills

• Analytical Thinking
• Attention to Detail
• Communications Skills
• Operations
• Python
• Team Collaboration