is a leading market maker working in three continents, across four asset classes, on over 50 markets around the world. Our team is strong and growing, always going after new ways to create better and more efficient markets. Working at the intersection of financial markets and technology, our tight-knit, interdisciplinary teams create the innovations that are improving the markets of tomorrow. We put our newest talent side-by-side with some of the leading thinkers in the industry, creating a vibrant work experience that promotes mutual learning and respect. We cultivate an environment that is challenging and rewarding for each and every employee. Over the years, we’ve come to attract a unique kind of person—confident but humble, competitive but collaborative, focused but flexible. It’s a combination of traits that tie back to the values that have shaped our success to date, and will be critical to our success in the future. We continuously develop and employ innovative technology, trading strategies and risk management systems to provide a flexible and scalable trading platform. We believe the most important factor in our success and rapid growth is our culture; combining a low-ego and respectful environment with vigorous debate, mental flexibility, continuous innovation, and teamwork.
We are looking for post-graduates with a strong background in computing or data science and a keen interest in finance and trading to join our leading market making and broker dealer platform as an analyst. This role will expose you to a variety of areas of our business and ensure a steep learning curve on products ranging from ETFs and portfolio construction to tick databases and trading strategies. The ideal candidate will hold degrees in both computer science and financial engineering (or similar). A strong understanding of statistics and programming, including comfort working with large databases, is critical to the role.
Strong writing and communication skills would be a bonus.
1. Statistics: Good understanding of statistics, in particular concepts like correlation and auto-correlation, data distributions, R2, confidence levels and regressions.
2. Computer Science: Comfortable writing SQL code, Java, Java-script, Python and R. Understands databases and able to extract and manipulate and summarize large data sets. Familiarity with time series & tick data important. Will be required to write programs to automate processes.
a. Understand financial math & products, discount model concepts, arbitrage concepts, optimal portfolio construction, futures vs stocks vs ETFs.
b. interest in, and understanding of, economics
c. Interest in trading a bonus
4. Communication Skills:
a. Comfortable sharing ideas and communicating in a team.
b. Good writing and presentation skills a benefit.
c. A “sales and marketing” personality a bonus
5. CS/EE major a plus
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