Quant Developer AKA Quantitative Software Engineer - Crypto Trading Firm

Skyrocket Ventures, Inc.; New York (NY); Hybrid; USD 315,000 - 385,000; Full time

Job summary

Skyrocket Ventures in New York seeks a Quantitative Software Engineer to build production trading systems and data pipelines for a crypto trading firm. You will collaborate directly with portfolio managers, traders, and the head of engineering on non-directional liquid strategies.

The role emphasizes Python, SQL, Go/TypeScript, and data-driven risk and analytics tools, with 2x remote work per week and a competitive compensation package.

Qualifications

• Bachelor’s degree in CS, Math, or Physics.
• At least 2 years building/operating production systems in a trading firm.

Responsibilities

• Develop production trading systems, data pipelines, analytics platforms, and related infrastructure.
• Collaborate with portfolio managers, traders, and engineering leads.
• Apply quantitative finance knowledge to support investment decisions.
• Build tools for backtesting, portfolio construction, and risk monitoring.
• Ensure data quality, timeliness, and reliability of investment data.

Skills

Python

SQL

APIs

Testing

Version control

Education

Bachelor's degree in Computer Science, Math, or Physics

Tools

Go

TypeScript

React

SQL databases

Job description

Quantitative Software Engineer - Crypto Trading Firm

Location: New York, NY. You can work remotely 2x/week.

The company is a leading blockchain venture capital and crypto trading firm that has invested in numerous successful companies, and is one of the earliest investors in the industry.

The company will pay up to $240k in salary, plus yearly performance bonuses of up to $110k, bringing total compensation up to $350k/year.

The company invests across venture, liquid, and quantitative strategies. It combines rigorous investment research with deep technical capability and proprietary software.

You would be working on the firm's non-directional liquid investment, investing across digital assets and related public markets using systematic, relative-value, volatility, hedging, and event-driven approaches.

Job Responsibilities:

• Programming about 33% in each: Go, TypeScript, Python. Plus some React.
• Serving as a key engineering partner for the non-directional fund, collaborating directly with the portfolio manager, head of trading, and head of engineering.
• Applying strong knowledge of financial markets, quantitative modeling, derivatives, options pricing, risk, factor exposures, interest rates, and related concepts to support investment decision-making.
• Combining a builder's mindset with the ability to rapidly design, develop, and deploy production-quality trading systems, data pipelines, databases, analytics platforms, and related infrastructure.
• Building, enhancing, and operating portfolio management, trading, market data, research, and risk management systems while developing new tools for the investment team.
• Developing production systems for portfolio analytics, P&L attribution, exposure analysis, risk management, and trade monitoring.
• Developing and maintaining integrations for market data, positions, pricing, and trade execution across brokers, exchanges, and data providers.
• Productionizing quantitative research by transforming research models and prototypes into tested, monitored, and scalable production workflows.
• Building tools for backtesting, simulation, signal analysis, portfolio construction, and scenario analysis.
• Improving the accuracy, timeliness, and integrity of investment data through validation, reconciliation, monitoring, and quality controls.
• Supporting systematic and relative-value investment strategies across equities, options, futures, digital assets, and structured products.
• Taking ownership of business-critical systems where reliability, performance, and data quality directly impact investment decisions.

Qualifications:

• A Bachelor's degree in Computer Science, Math, or Physics.
• At least 2 years of professional experience in a quantitative software engineer role building and operating production systems in a trading firm.
• Strong proficiency in Python, along with SQL, databases, APIs, testing, debugging, version control, agentic coding, and modern software-development practices.
• Strong quantitative and analytical skills, with sufficient knowledge of statistics, mathematics, or quantitative finance to implement research and work effectively with portfolio managers and traders.
• Familiarity with financial markets, trading, portfolio data, and quantitative finance, as well as the types of data available to support research and trading efforts.
• Familiarity with derivatives and associated modeling techniques including backtesting, portfolio risk, factor models, options analytics, or market microstructure.
• Ability to write clear, maintainable code and reason carefully about data quality and system behavior.
• Strong problem-solving skills and comfort working through ambiguous, cross-functional problems.
• Ability to communicate effectively with engineers, portfolio managers, traders, and other stakeholders.
• High ownership, sound judgment, and an interest in working on a lean, collaborative team.

Nice to Have:

• Proficiency in Go, C++, Rust, TypeScript, or another production-oriented language.
• Experience with cloud infrastructure, distributed systems, real-time data, or workflow orchestration.
• Knowledge of blockchain infrastructure, onchain data, and decentralized finance.

About Skyrocket Ventures

This opportunity is with one of our client companies for a full-time permanent hire.