
51 - 200 employees
Founded 2013
₿ Crypto
💳 Fintech
🛍️ eCommerce
Crypto • Fintech • eCommerce
Uphold is a platform designed for trading and earning cryptocurrency. It enables users to buy and sell a wide range of cryptoassets easily, providing features like staking with high returns and seamless trading experiences. Uphold is known for its commitment to transparency, protecting customer assets, and ensuring rigorous security standards. With a focus on offering a unique experience in the crypto market, Uphold is a trusted choice for individuals and institutions looking to engage with digital assets.
🕒 August 27
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51 - 200 employees
Founded 2013
₿ Crypto
💳 Fintech
🛍️ eCommerce
Crypto • Fintech • eCommerce
Uphold is a platform designed for trading and earning cryptocurrency. It enables users to buy and sell a wide range of cryptoassets easily, providing features like staking with high returns and seamless trading experiences. Uphold is known for its commitment to transparency, protecting customer assets, and ensuring rigorous security standards. With a focus on offering a unique experience in the crypto market, Uphold is a trusted choice for individuals and institutions looking to engage with digital assets.
• Design, develop, and implement quantitative trading strategies, including market-making, arbitrage, and algorithmic execution using Golang and Python • Build and maintain pricing models for a wide range of digital assets • Develop and enhance backtesting and market simulation frameworks to validate strategy performance and risk characteristics • Work closely with traders and quantitative researchers to translate trading ideas into robust, production-ready code • Contribute to systems managing strategy configuration, deployment, and real-time parameter tuning • Analyze strategy performance metrics and market data to identify improvement opportunities and new alpha generation
• BSc or advanced degree in a quantitative field like Computer Science, Mathematics, Statistics, Physics, or Engineering • 5+ years of professional software engineering experience • Preferably experience in a financial trading environment (e.g. hedge fund, prop trading firm, or investment bank) • Proficiency in a high-performance language (Golang, C++, Java, or Rust) • Experience with a data analysis language such as 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 (bonus) • Deep knowledge of cryptocurrency market structure, DeFi protocols, and on-chain data (bonus) • Familiarity with Pandas, NumPy, SciPy, and machine learning concepts (bonus) • Experience with large-scale time-series data and databases such as KDB+, InfluxDB, or TimescaleDB (bonus) • Experience in a performance-sensitive or low-latency environment (bonus)
• Performance bonuses • Comprehensive benefits • Training and mentorship programs • Options to work from home or other locations • Flexible hours • Annual bonus program based on individual, team and company performance • Generous PTO • Healthcare • Employee assistance programs • Engaging events and celebrations • Well-stocked office kitchen • Foodie culture
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