TradeSmith is hiring a Quantitative Analyst to add to our growing company. This person will work to create, explore, and enhance financial models and algorithms within the TradeSmith universe. This department is collecting extraordinary amounts of data and is looking for someone with an in-depth understanding of financial models and terms to write solutions that will identify new trends. This person should have a strong background in SQL and Python. The successful candidate will be open to aggregate, normalize, and clean data. The ideal fit is an engineer a demonstratable Data Science experience in a Financial Services environment, combined with a background in academic research. The Quantitative Analyst will work with our financial researchers, editors and marketing to craft and deliver various financial market reports, algorithms, and portfolio/strategy backtests.
TradeSmith is the leading Wealth Tech division of MarketWise. TradeSmith began as a simple way to track portfolios using trailing stops, and has evolved into a powerful suite of risk-management and portfolio analysis tools. Since 2005, we've been optimizing the powerful, proprietary algorithms behind our portfolio management software. This suite of tools features volatility-based buy and sell alerts, stock screener tools, a robust ratings system, and a groundbreaking options trading tool. TradeSmith's tools can be used on stocks, cryptocurrencies, commodities and funds to help limit risk and maximize upside. We track over 2.5 Million securities and over $20 billion in invested capital. TradeSmith empowers individual, self-directed investors by giving them a tremendous edge in the markets. TradeSmith believes that advanced market insights and user-friendly tools go hand-in-hand to create lasting wealth.
As an employer committed to equal opportunity and a diverse workforce, all qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.