ABOUT JEM:
JEM Research & Trading (JEM) is a registered Commodity Trading Advisor (CTA) based in Portland, Oregon. The firm was founded in 2001 by Dr. John Moody, a former professor of Computer Science, and a recognized expert in Machine Learning (former chair of NeurIPS, the world’s premier AI/ML research conference) and Computational Finance (former Chair of CompFin London).
JEM brings scientific rigor and a deep understanding of global futures markets to its quantitative investment strategies. Our research and trading teams draw upon extensive expertise in AI/ML, mathematics and physics, quantitative finance, data science, software engineering, investment management, and algorithmic trading. The JEM team leverages decades of academic, high-tech, and financial-industry experience to power our R&D process and trading strategies.
RECOGNITION:
JEM has received numerous industry accolades over its 25-year history, including winning the 2021 HFM US Quant Award[1] for Best Diversified CTA and the 2018 HFM US Performance Award[2] for Best Quantitative Strategy under $1B.
JEM's recent recognition includes HFM US Performance Award nominations every year from 2018-2026, as well as nominations for Best Commodities Fund in both the HFM US Quant Awards (2020, 2021 & 2022) and the CTA Intelligence Awards[1] (2019). The firm was also shortlisted for Best North American CTA/Managed Futures Hedge Fund in Eurekahedge's 2019 Global Hedge Fund Awards[4], as well as being ranked among BarclayHedge's top-performing CTAs[3] in 2020 and 2018. JEM was one of three nominees globally for Managed Futures Pinnacle Awards[5] (sponsored by the CME & Barclay Hedge) in 2013 for Best Diversified Manager (5 Years, <$500M) and in 2012 for Best Defensive Manager. Earlier in our history, Portfolio Manager John Moody was named a Rising Star of Hedge Funds at the 2009 Hedge Fund Industry Awards[6].
Media coverage has included feature articles in HFM Connect, Popular Delusions, the Financial Times, Automated Trader, Institutional Investor's Alpha, Advanced Trading, Bloomberg Markets, and U.S. News & World Report.
Award methodology and disclosures
- [1] HFM and CTA Intelligence Awards
- HFM US Quant Awards and CTA Intelligence Awards are judged by leading investors and industry experts, based on risk-adjusted performance, qualitative information, and structural criteria.
- [2] HFM US Hedge Fund Performance Awards
- HFM US Hedge Fund Performance Awards in these categories are open to USA- or Canada-based funds with over $25M AUM and a 3+ year track record. Panels of investors and consultants select winners based on risk-adjusted performance, AUM and knowledge of the fund.
- [3] BarclayHedge rankings
- BarclayHedge award rankings are based on data in the BarclayHedge's CTA database.
- [4] Eurekahedge nominations
- Eurekahedge award nominations are made by a panel of independent judges. All hedge funds reporting current performance and AUM numbers to Eurekahedge are eligible to be selected.
- [5] Pinnacle Awards
- The Pinnacle Awards do not disclose their full selection methodologies, but these are believed to include risk and return factors over specified periods of time. Pinnacle Awards draw from those managers represented in the BarclayHedge database.
- [6] Rising Star awards
- Rising Star awards are based on industry nominations and recipients are selected by Institutional Investor.
- [7] RCM Alternatives rankings
- RCM Alternatives (formerly Attain Capital) does not disclose their full selection methodologies, but these are believed to include risk and return factors over specified periods of time. They draw from investable BarclayHedge-reporting managers with a 36+ month track record.
INVESTMENTS:
Hedge fund investments managed by JEM Research & Trading are available only to institutions, non-U.S. residents and U.S. qualified eligible persons. For more information, please contact Info@JEMResearch.Com
EMPLOYMENT OPPORTUNITIES:
We are seeking highly talented people with training and experience in science, engineering and the financial industry. Of particular interest are candidates with strong backgrounds in statistics, machine learning, data science & engineering, software development & engineering, computational finance, quantitative trading, futures & options markets, commodities and/or the hedge fund business. For employment inquiries, please contact Jobs@JEMResearch.Com