Quantitative Researcher, Early Career at Aquatic Capital Management

Sea Girt, New Jersey, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative TradingIndustries

Requirements

Bachelor’s degree (BS) in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines
Up to 3 years of professional experience OR actively pursuing a BS or MS (expected graduation date: 2025 or 2026)
Demonstrated proficiency in quantitative analysis and problem-solving
Proficiency in Python programming
Prior experience tackling data-intensive challenges and conducting statistical or applied mathematical research
Successful participation in mathematical competitions (e.g., IMO, Putnam) - a plus
Prior experience in a quantitative role within a trading environment - a plus
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

Responsibilities

Collaborate closely with a team to develop and implement quantitative trading signals, models, and strategies
Design, implement, and evaluate research systems components using rigorous statistical methodologies
Gain exposure to diverse research areas, accelerating expertise in quantitative finance

Skills

Mathematics

Statistics

Quantitative Modeling

Statistical Methodologies

Machine Learning

Aquatic Capital Management

Quantitative investment management for institutional clients

About Aquatic Capital Management

Aquatic Capital Management specializes in quantitative investment management, focusing on creating financial models that predict market movements. The company uses advanced research and development techniques, employing a team of skilled researchers and engineers to develop data-driven investment strategies for institutional clients like hedge funds and pension funds. Aquatic's products work by leveraging mathematical models and algorithms to analyze market data and generate insights that help clients maximize their returns. Unlike many competitors, Aquatic operates without the limitations of outdated systems, allowing for greater agility and responsiveness to market changes. The company's goal is to build the best prediction machine in the industry while fostering a collaborative and innovative workplace culture that attracts top talent.

Chicago, IllinoisHeadquarters

2015Year Founded

VENTURE_UNKNOWNCompany Stage

Fintech, Quantitative FinanceIndustries

11-50Employees

Benefits

Vacation

Mentoring and development programs

Weekly happy hours

Daily catered meals

Risks

Competition from new hedge funds may challenge Aquatic's market position.

Brand confusion may arise from Motive Offshore's acquisition of Acteon's Aquatic business.

Regulatory scrutiny on quantitative strategies could increase compliance costs for Aquatic.

Differentiation

Aquatic leverages advanced R&D to create sophisticated financial models for market prediction.

The company operates without legacy constraints, allowing agility in market response.

Aquatic's culture attracts top talent with a focus on collaboration and innovation.

Upsides

Rising ESG investing interest could attract more institutional clients to Aquatic.

Alternative data sources enhance predictive accuracy in Aquatic's quantitative models.

Machine learning advancements align with Aquatic's focus, improving their competitive edge.

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