Quant Developer AKA Quantitative Software Engineer - Crypto Trading Firm

Skyrocket Ventures; New York (NY); Hybrid; USD 240,000 - 350,000; Full time

Job summary

Skyrocket Ventures in New York, NY, offers a Quantitative Software Engineer role focused on crypto trading. Work is hybrid with the option to remote 2 days per week, collaborating with PMs, traders, and engineers on systematic investment across digital assets and traditional markets.

You will implement production systems, data pipelines, and analytics platforms, applying quantitative finance concepts and robust software practices to support investment decisions.

Qualifications

• Bachelor’s degree in CS, Math, or Physics.
• Minimum 2 years building/operating production systems in a trading firm.
• Strong Python proficiency, SQL, APIs, testing, debugging, and modern software practices.
• Solid quantitative/analytical skills for finance and trading contexts.
• Familiarity with financial markets, derivatives, risk, and data quality.
• Clear, maintainable coding with good data-quality reasoning.
• Effective communication with engineers, PMs, traders, and stakeholders.
• Ownership, judgment, and collaborative, lean team mindset.

Responsibilities

• Develop and operate production trading systems and data pipelines.
• Collaborate with portfolio managers, traders, and engineers on non-directional fund.
• Apply quantitative modeling and market knowledge to support decisions.
• Build tools for backtesting, portfolio analytics, and risk monitoring.
• Integrate market data, pricing, positions, and trade execution across brokers.
• Productionize research models into scalable workflows.
• Enhance data quality, timeliness, and integrity for investment decisions.
• Contribute to real-time analytics, P&L attribution, and risk management.

Skills

Python

SQL

Quantitative finance knowledge

Problem-solving

Communication

Education

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

Tools

Go

TypeScript

React

SQL databases

APIs

Testing & debugging

Version control

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. Please only apply if you are authorized to work in the U.S.

Thank you, and we wish you a great job search!