Campus Full Time 2026 - Quantitative Trader - Boca Raton

Quant Blueprint LLC; New York, Chicago (NY, IL); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Fully paid medical, dental, and vision for employees and dependents

Competitive 401k plan

Generous PTO and paid holidays

Job summary

Quant Blueprint LLC is seeking a Quantitative Researcher to collaborate on developing and implementing quantitative trading signals, models, and strategies. This role will immerse you in various research areas, enhancing your expertise in quantitative finance.

The ideal candidate will hold a Bachelor's degree in a related field and show proficiency in quantitative analysis and Python programming. The position offers a competitive base salary between $150,000 and $200,000, along with comprehensive benefits including wellness programs and paid time off.

Qualifications

• Up to 3 years of professional experience or pursuing BS/MS with graduation by 2025.
• Proficiency in conducting statistical research.

Responsibilities

• Develop and implement quantitative trading signals, models, and strategies.
• Gain exposure to diverse research areas in quantitative finance.

Skills

Quantitative analysis

Python programming

Problem-solving

Education

Bachelor's degree in mathematics, statistics, machine learning, physics, computer science or relevant field

Job description

Quantitative Researcher

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

• A Bachelor's degree (BS) in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines is required.
• Candidates may have up to 3 years of professional experience or be actively pursuing a BS or MS in these fields, with an expected graduation date 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 is a plus (e.g., IMO, Putnam).
• Prior experience in a quantitative role within a trading environment is 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.

Salary and Benefits

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.

• Fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer‑paid life & disability insurance.
• Wellness programs, casual dress, snacks, lunch, game room, team and company events.
• Open environment to maximize learning and knowledge sharing.
• Generous PTO, paid holidays, competitive paid caregiver leaves.

Equal Opportunity Statement

Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.