[Hiring] Senior Software Engineer @Uphold

Role Description

We are looking for a finance-oriented Senior Software Engineer to join our Trading Strategies team. This role is at the intersection of quantitative finance and software engineering, where you will be responsible for building the core of our trading operation. You will design, implement and maintain the pricing models and automated trading strategies that drive our profitability. This is a unique opportunity to apply your software and quantitative skills to solve complex financial problems in the dynamic world of cryptocurrency markets.

If you are excited by algorithmic strategy development, market microstructure and building sophisticated models that perform at scale, we would love to talk to you.

Essential Duties and Responsibilities

• Designing, developing and implementing quantitative trading strategies, including market-making, arbitrage and algorithmic execution using Golang and Python.
• Building and maintaining sophisticated pricing models for a wide range of digital assets.
• Developing and enhancing our backtesting and market simulation frameworks to rigorously validate strategy performance and risk characteristics.
• Working closely with traders and quantitative researchers to translate trading ideas into robust, production-ready code.
• Contributing to the systems that manage strategy configuration, deployment and real-time parameter tuning.
• Analysing strategy performance metrics and market data to identify opportunities for improvement and new alpha generation.

Qualifications

• BSc or advanced degree in a quantitative field like Computer Science, Mathematics, Statistics, Physics, or Engineering.
• 5+ years of professional software engineering experience, preferably in a financial trading environment (e.g. hedge fund, prop trading firm, or investment bank).
• Proficiency in a high-performance language (Golang/ C++/ Java/ Rust) and experience with a data analysis language (e.g. Python).
• Demonstrable experience building pricing models or algorithmic trading strategies.
• Strong understanding of financial market concepts, market microstructure and common trading algorithms.
• Excellent quantitative and analytical skills.
• Fluent written and oral English skills.

Requirements

• Bonus if you have experience building high-fidelity backtesting or market simulation environments from the ground up.
• Deep knowledge of cryptocurrency market structure, DeFi protocols and on-chain data.
• Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts.
• Experience working with large-scale time-series data and databases (e.g., KDB+, InfluxDB, TimescaleDB).
• Experience in a performance-sensitive or low-latency environment.

Benefits

• Annual bonus program based on individual, team and company performance.
• Generous PTO, healthcare, and employee assistance programs.
• Engaging events and celebrations.
• Well-stocked office kitchen with a foodie culture.
• Innovation and Impact: Contribute to pioneering projects in a dynamic and challenging environment.
• Competitive Compensation: Performance bonuses, and comprehensive benefits on top of a competitive salary.
• Strong Company Culture: Thrive in a supportive, collegiate environment with values of integrity, teamwork, accountability, and excellence.
• Global Collaboration: Participate in regular updates, strategy sessions, and networking opportunities across the group.
• Development Opportunities: Access training and mentorship programs.
• Flexibility: Enjoy options to work from home, other locations, or adjust your hours.
• Inclusive Environment: Value and respect diverse perspectives.