Quantitative Researcher, Early Career (2025)

As a Quantitative Researcher, you will collaborate closely with a team to develop and implement quantitative trading signals, models, and strategies. Our role offers the opportunity to design, implement, and evaluate research systems components using rigorous statistical methodologies. As part of the team, you will gain exposure to diverse research areas, accelerating your expertise in quantitative finance. 

Requirements:

• Candidates with up to 3 years of professional experience or active student pursuing a BS or MS in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with the expectation of graduating in 2025
• Demonstrated proficiency in quantitative analysis and problem-solving
• Proficiency in Python programming 
• Prior experience tackling data-intensive challenges, conducting and completing statistical or applied mathematical research 
• 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.