Quantitative Researcher

Job Summary

We re looking for accomplished researchers who are interested in growing their careers in the field of quantitative finance. While the problems we solve at client are often different from academia, our problems demand the attention of brilliant minds that have an extraordinary attention to detail and a relentless pursuit of understanding.

Client's Quantitative Researchers find solutions to complex problems that occur in the world of trading. They use research as a tool to better understand global markets, varying products, and the network of exchanges on which we trade. Quants move clients' businesses forward by improving, identifying, and implementing trading strategies for the firm.

Responsibilities

In this role, you will

• Examine global markets, utilize terabytes of trading data, and leverage your statistical analytic skills to build models and strategies for a variety of financial instruments.
• Use your quantitative and computational experience to help us increase profitability for the firm while decreasing our risk in the capital markets.
• Our collaborative environment enables you to work closely with traders and developers as you continuously advance the sophistication and results of your research. The impact of your work becomes quickly apparent as it affects our trading environment on a daily basis.

The general lifecycle of a quant project begins with an idea:

• This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria.
• As a quantitative researcher, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming.
• Through your research, you may discover a new pattern that can transform into a trading signal.
• You will work side-by-side with technologists in order to backtest your results and put that trading signal into production.
• Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance.
• As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas.
• Some of those ideas will turn into new quant projects, and the life cycle starts all over again.

Qualifications

• PhD in a quantitative field such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics.
• Exceptional mathematical problem-solving skills.
• Solid communication skills, both in the ability to understand others and to make yourself clearly understood.
• Strong, practical computing skills; a specific language proficiency is less important than your ability to get computers to accomplish tasks efficiently and reliably.
• Experience working on in-depth research projects.
• Demonstrated experience working with and drawing conclusions from large datasets.