Senior Software Engineer, Strategy Development

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Budapest, HUN
In-Office or Remote
Senior level
Blockchain • Cryptocurrency
The Role
Design, implement, and maintain quantitative trading strategies, pricing models, and automated execution systems for cryptocurrency markets. Build backtesting and market simulation frameworks, collaborate with traders and quantitative researchers, manage real-time strategy configuration and tuning, and analyze performance and market data to identify improvements and alpha opportunities.
Summary Generated by Built In

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 https://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.

Skills Required

  • BSc or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or another quantitative field
  • 5+ years of professional software engineering experience
  • Experience in a financial trading environment such as a hedge fund, proprietary trading firm, or investment bank
  • Proficiency in a high-performance programming language such as 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 markets, 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
  • Deep knowledge of cryptocurrency market structure, DeFi protocols, and on-chain data
  • Familiarity with Pandas, NumPy, SciPy, and machine learning concepts
  • Experience with large-scale time-series data and databases such as KDB+, InfluxDB, or TimescaleDB
  • Experience in a performance-sensitive or low-latency environment
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The Company
HQ: New York, NY
350 Employees
Year Founded: 2013

What We Do

Founded in 2013, Uphold is a digital wallet and trading platform that makes cryptocurrencies and other assets affordable and accessible for everyone. We provide borderless access to financial services you can’t get through your bank. Covering over 150 cryptos and utility tokens, 27 national currencies, 6 stablecoins and four precious metals, we allow both consumers and businesses to easily transact between digital and traditional currencies, with full integration between old and new money systems. The Uphold Mobile App features our ‘Anything-to-Anything’ interface, which enables you to fund your account, send money to friends and family abroad, or trade directly between more than 60 cryptos, national currencies and metals, using just one screen. Our open API makes it possible for third-party developers to build sophisticated financial products on top of Uphold. Through our partners, you can earn interest on your holdings, get paid in crypto, or donate to charities using any supported currencies.

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