Job description

About Uphold Uphold is a financial technology company that believes on-chain services are the future of finance. We provide modern infrastructure for on-chain payments, banking and investments. Offering Consumer Services, Business Services and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries. Uphold integrates with over 30 trading venues, including centralized and decentralized exchanges, to deliver superior liquidity and optimal execution. Uphold never loans out customer assets and is always 100% reserved. The company pioneered radical transparency and uniquely publishes its assets and liabilities every 30 seconds on a public website ( Transparency Page ) . Uphold strips away the complexity to open up Web3 finance for everyone. To learn more about Uphold, please visit uphold.com . Job Summary 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. Required Qualifications and Skills 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. 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. What We Offer 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. Our 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. Join us to grow, innovate, and contribute meaningfully. Be part of our talented team! Visit our careers page for more exciting opportunities, if this role isn’t the perfect fit. EEOC Employer We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us stronger and better - together.

Requirements

Must-haves

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.
Required Qualifications and Skills
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

golangpythonjavarustmachine learning

Platform: bamboohr
Effort: medium

Benefits

Benefits detected in the listing.

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