Quant Developer AKA Quantitative Software Engineer - Crypto Trading Firm
Skyrocket Ventures - New York City Metropolitan Area
Hiring: Quant Developer AKA Quantitative Software Engineer - Crypto Trading Firm Company: Skyrocket Ventures Location: New York City Metropolitan Area Job Posted Time: 2026-09-09 18:00:50 Target Skills & Keywords : Blockchain, Data Pipeline, Event-Driven, Go, Python, React, SQL, TestNG, TypeScript About the job Experience: •2 years of professional experience in a quantitative software engineer role building and operating production systems in a trading firm. •At least 2 years of professional experience in a quantitative software engineer role building and operating production systems in a trading firm. Required Skills: •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 Compensation: •$240 •$110 •$350 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!