WorldQuant is a private institutional investment management complex consisting of an international team of researchers, traders and technologists who constantly work toward even greater quantification and automation in the development of its trading processes. Continuously evolving for ever-greater efficiency enables us to trade today the way others will tomorrow.
At WorldQuant, we believe that in extreme quantification and automation lies our market advantage. Because of this belief, we strive daily to quantify our strategies ever more precisely and automate our systems ever more thoroughly, creating the trading methodologies of the future and employing them today.
WorldQuant's history dates back to 1995, when Igor Tulchinsky joined a major hedge fund. In 2007, WorldQuant spun off from the fund, while retaining close ties. Today, WorldQuant's staff is located in offices in Greenwich and New York; its China, India, Israel, Russia and Vietnam research affiliates maintain offices in Beijing, Mumbai, Tel Aviv, Moscow and Hanoi respectively; and a further expansion to Singapore, London, Shanghai and Bangkok is in the planning stages.
Join the team at WorldQuant.
We are seeking employment candidates with outstanding quantitative skills to join in our relentless quest for alpha. Positions in research, trading and technology are available. Learn more about the kind of candidates who are generally successful at WorldQuant.
WorldQuant hires Masters- and PhD-level graduates in quantitative disciplines such as mathematics, computer science, physics and operations research as well as those with experience in the field of investment management. Experience is not required, though; we have many successful employees who began with no experience at all.
What we are looking for, above all, are people whose contributions will have a material impact on our pursuit and exploitation of alpha. We require critical thinkers who are analytical, creative and detail-oriented—and who are driven to succeed.
Driven by the desire to find an edge that produces profits, WorldQuant employees work hard to invent ideas before the competition does. Staff may work alone or in teams that are at the same time collaborative and competitive. All are free to pursue whatever intellectual problems appeal to them in a meritocratic, creative, academic atmosphere, as long as they keep the company's realworld goals in sight. Performance is judged only by the relentlessly objective market, focusing WorldQuant daily on the key question: how much profit has been created?
"First, I would characterize the money management business as a game based on the duality of money and information. If you have information you can make money, and if you have money you can buy information. It looks very simple, but finding the equilibrium between the two is complicated.
A researcher, or quant, deals with the information side of this duality. Finding signals to predict market movements (on the average) is definitely the major objective of the researcher, and it defines his or her day-to-day efforts. This comes in many flavors and has no precise definition, making the activity challenging and interesting. Finding the right raw data and applying the most suitable algorithms to detect the faintest indicators and then aggregating these into a more robust predictor requires a lot of tests, measurements and simulations. Even then, research yields many failures. Not all ideas turn out to be viable, and when they are not, the search has to start from scratch again—trying new data and new algorithms or just changing the sequence of operations. After a lot of trial and a fair amount of error, the researcher is rewarded for all his or her hard work with a good signal: the information captured is stronger than the amount of noise. This will be the basis for future decision-making processes used by traders to manage the investment process.
In both cases—good signal or bad signal—there is a coffee at the end."
"As a trader, my main focus is developing better strategies. A better strategy needs good ideas, and good ideas come from various sources. I get many ideas from simple things like news and price movements.
A good strategy also needs a tremendous amount of detail work to refine and improve. I believe it is the attention to detail that differentiates a good strategy from an average one. My day's work is about understanding the details of the problem, analyzing various scenarios and implementing the solution."
"WorldQuant's technology has a variety of important roles: to provide researchers and portfolio managers with the live and historical data they need; to provide all users with suitable computational infrastructure such as servers, storage and networking; and to develop, maintain and operate the trading system, which executes trades towards the positions specified by the portfolio managers.In each of these roles, we strive to maintain quality and consistency while providing the fastest possible throughputs and the lowest possible latencies. System programming, low latency computing and scripting automation are essential ingredients for most of our projects."
We aim to make employment decisions that are beneficial for both WorldQuant and our candidates. The WorldQuant hiring process generally includes a combination of telephone interviews, in-person interviews and written and standardized tests. We also visit select educational institutions to give prospective candidates the opportunity to meet with us in person. If we are not scheduled to visit your school and you have a question about careers at WorldQuant, please contact us at email@example.com for North American inquiries and firstname.lastname@example.org for all other regions.
If you have already decided that you are excited at the prospect of a career with WorldQuant, please apply by sending us your resume.
I have been working at WorldQuant part-time
free and flexible, no regulation
less income and time consuming
I applied through a recruiter. I interviewed at WorldQuant (New York, NY) in May 2017.
I applied through an headhunter, after a few days later I took some online test (basic algorithm, some probability problems, simple math problems, etc).
Then, I took 5 technical phone interviews.
Let us know if we're missing any workplace or industry recognition –