Overview
We’re looking for an individual who is passionate about mathematical problem solving and building social connections. As a Quantitative Recruiter, you’ll be at the center of our recruitment and assessment process as we search for the best and brightest researchers in the STEM community. You’ll work directly with the rest of the Quant Recruiting group as we partner with hiring managers to grow teams such as Quantitative Research and Machine Learning. In time, you’ll gain a thorough understanding of SIG’s business and strengthen your abilities in both analytical thinking and interpersonal skills.
Some of the responsibilities you can expect:
Play an essential role in the decision-making process by conducting technical interviews
Create new and engaging interview questions in subject areas such as probability, statistics, calculus, and linear algebra
Build active relationships with prospective candidates by getting them excited about SIG
Assist in the strategy and execution of campus recruiting events
Provide the general recruiting team with ideas and feedback on ways to improve our interview process and information on key trends in the candidate market
What we're looking for
Bachelor’s degree with coursework in calculus, statistics and linear algebra
Solid foundation in discrete math topics such as probability, combinatorics and logic
Strong appetite to learn advanced topics in mathematics, physics and related areas
Excellent written & verbal communication skills
Demonstrated interest in developing candidate relationships and interviewing
Recruiting experience is a plus, but not required
Bala Cynwyd, PA
SIG is a global quantitative trading firm founded on a platform of intellectual curiosity. We bring together the brightest minds, cutting-edge technology, and expansive sets of data to solve incredibly challenging problems. We commit our own capital to trade financial products around the clock and around the globe, and we innovate by building virtually all of our own trading technology from scratch.
Our traders, quantitative researchers, and technologists work side-by-side to develop and implement our trading strategies, making us leaders in high performance, low latency trading. We know that it’s only by tapping into our diverse perspectives that we can truly achieve our full potential. Our collective insight allows us to approach problems, both simple and extremely complex, from a wide range of thinking. This ability to think together, but not always alike, has propelled our success.