As a Quantitative Researcher, you will work with a team to develop a variety
of signals, models, and strategies for trading financial markets. As part of
the role, you will be responsible for the design and implementation of various
components of our research system, and you will evaluate their effectiveness
by using rigorous statistical methods. As part of a small team with exposure
to multiple areas of research, you will have the opportunity to rapidly grow
your knowledge of quantitative finance.
Candidate requirements:
- Active PhD graduates or Postdocs pursuing a degree in mathematics, statistics, machine learning, physics, computer science, or other scientific discipline
- Exceptional mathematical, analytical, and problem-solving ability
- Programming proficiency in Python or C++
- Experience in solving data-intensive problems a plus
- Demonstrated ability to complete statistical or applied mathematical research a plus
- Successful participation in mathematical competitions a plus e.g., IMO, Putnam
- Prior experience in a quantitative role within a trading environment a plus
Desired qualities:
- Intellectually curious, creative, and rigorous
- Willingness to challenge assumptions and revise opinions in the face of compelling evidence
- Self-motivated and highly productive, with a strong sense of urgency and accountability
- Willing to take ownership of one’s work, working both independently and within a small team
- Meticulous attention to detail
- Ability to manage and prioritize multiple threads of work
- Able to work across disciplines
- Excellent communication and collaboration skills
- Comfortable providing and receiving actionable feedback in a collaborative team setting
The base salary for this role is anticipated to be between $150,000 and
$200,000, which is based on information at the time of posting. This position
may also be eligible for additional forms of compensation, such as a
discretionary bonus, and benefits. Discretionary bonus can be a significant
portion of total compensation. Actual compensation for successful candidates
will be carefully determined based on a number of factors, including their
unique skills, qualifications and relevant experience.