Former classmates from Carnegie Mellon's Master of Science in Computation Finance Program decided to launch Seven Eight Capital, a hedge fund specializing in quantitative trading and statistical arbitrage.
We partnered with a Family Office which specializes in allocating capital to hedge fund managers, began trading live for the first time, and discovered many trajectories for success.
We grew to five researchers, and continued to expand our reach within the trading world.
We continued to fine-tune our approach, incorporating cutting-edge technology into our trading strategy.
We grew substantially as a company and began to focus on international markets.
We began trading live in Europe and continued to grow in the US.
Our staff has grown to 15 diverse and talented people working together; 87% of employees hold advanced graduate degrees. Our portfolio has expanded to $3.3 billion in gross market value.
Prior to founding Seven Eight, Stephen Cash co-managed the Statistical Arbitrage Group at IVC Americas. Stephen has also worked as a quant trader on the Proprietary Trading desk at Lehman Brothers and at Bank of America Merrill Lynch and as a Portfolio Manager at WorldQuant. He has an extensive background in applied mathematics and finance, completing his BS in Finance with a minor in Mathematics at Fordham and his MS in Computational Finance from Carnegie Mellon University.
Stephen has given guest lectures on quantitative finance at CMU, MIT, University of Chicago and the International Association for Quantitative Finance's How I Became a Quant series. He also sits on the alumni admissions committee for Carnegie Mellon University's MS in Computational Finance.
Prior to founding Seven Eight, Adrian spent over five years at IVC Americas where he co-managed the Statistical Arbitrage Group. Adrian also worked at Data Mining Systems (DMS), where he implemented a successful HFT strategy and built a new capital allocation system among systematic futures strategies. His career in finance began at Lehman Brothers, where he managed the real-time risk and PNL systems for equities trading and worked on a Proprietary Trading desk researching quantitative trading systems. Before moving to New York, Adrian spent time in Austin, Texas and co-founded a web startup which was quickly acquired by New York-based Bolt Media. Adrian holds a BA in Computer Science and Chemistry from Duke University and an MS in Computational Finance from Carnegie Mellon University.
Adrian is also an Adjunct Professor at The City University of NY - Baruch in the Master of Financial Engineering program, where he teaches Machine Learning in Finance.
Zack joined Seven Eight Capital in early 2016 as CTO. Prior to Seven Eight, Zack worked at JP Morgan and Deutsche Bank as tech lead for strategic OMS development where he led a team of local and offshore developers in building new OMS for global equity trading. Zack began his career during the dot com bubble and moved into finance in 2002 joining Lehman Brothers where he spent 6 and ½ years until joining Adrian at IVC. Zack has a BS in Computer Science from Binghamton University and MS in Computational Finance from Carnegie Mellon University.
The successful candidate will be part of team that currently implements statistical arbitrage trading models. This is an amazing opportunity to utilize your excellent programming skills while at the same time extending your knowledge of quantitative research while designing and implementing trading models. You will be expected to assist in analyzing existing models and to help in maintaining and optimizing them.
This is an amazing opportunity to utilize your excellent programming skills to help build the systems that support the trading systems and research process at a growing hedge fund. Coding is our life-blood and over 90% of our employees write code everyday. Code quality and performance are important as we develop systems that scale from small exploratory research projects to massive simulations executing on thousands of processors on cloud-based hosts.
The successful candidate will be currently studying in a quantitive field at the graduate or undergraduate level. We are always eager to bring in motivated, outstanding students to work with both our technology and research teams.
Interested in joining us? Please submit your resume and cover letter to firstname.lastname@example.org.