Quantitative Researcher, PhD 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

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 (e.g., IMO, Putnam) (a plus)
Prior experience in a quantitative role within a trading environment (a plus)

Responsibilities

Develop a variety of signals, models, and strategies for trading financial markets
Design and implement components of the research system
Evaluate the effectiveness of these components using rigorous statistical methods
Contribute to a culture of continuous growth and innovation

Skills

Key technologies and capabilities for this role

PythonC++StatisticsMathematicsMachine Learning

Questions & Answers

Common questions about this position

What is the salary for this Quantitative Researcher position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Quantitative Researcher role?

The role requires exceptional mathematical, analytical, and problem-solving ability, along with programming proficiency in Python or C++. Experience in solving data-intensive problems, statistical or applied mathematical research, and mathematical competitions are pluses.

What is the team environment like at Aquatic Capital Management?

The role is within a small, collaborative team focused on rapid growth in quantitative finance knowledge, contributing to a culture of continuous growth and innovation.

What makes a strong candidate for this position?

Strong candidates are active PhD graduates or Postdocs in fields like mathematics, statistics, machine learning, physics, or computer science, with exceptional mathematical and problem-solving skills, Python or C++ proficiency, and qualities like intellectual curiosity, self-motivation, and excellent communication.

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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