Top quantitative trading hedge fund is seeking to add a junior person to the quantitative trading strategy research group working on creating new and original trading strategies. Looking for individuals with education from top schools.

Prestigious hedge fund known for their successful and leading quantitative trading and statistical arbitrage trading groups is looking to hire a junior person for their quantitative strategies research team. You will join the core group focusing on strategies covering equity, interest rates, FX, commodities, and multi-asset class quantitative trading.

You will work on creating new trading strategies from research papers and statistical research, backtesting the strategies, putting them into play live in the market. In addition you will gain experience working with senior group members and working on their existing strategies to develop skills and experience.

The ideal candidates will have:

• Quantitative education (PhD or MS in statistics, econometrics, finance, or similar field) from a top school (such as MIT, CalTech, Columbia, Stanford, NYU, CMU, Princeton, etc.)
• Candidates with MS in Financial Engineering must have additional PHD or MS in Statistics or Mathematics
• 1 to 3 years of experience in a quantitative group at an investment bank or hedge fund working on creating, backtesting, and implementing quantitative trading strategies
• Individuals completing their education currently must have an internship with an investment bank or hedge fund
• Programming/implementation experience in an object oriented language, preferably C++
• Hardworking and motivated to developing a career in stat arb or quantitative trading

To apply:

To apply for this position, please submit your resume directly to Alexander Kreymer (Quantitative Trading Headhunter) by applying online or sending your resume to quants.usa(at)huxley.com with the reference code "AEKE6108". All resumes confidential.

Alexander Kreymer / Systematic-Quantitative Trading HeadHunter / (212) 707-8332 / quants.usa(at)huxley.com with reference code "AEKE"