Quantitative Researcher

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Asset Management, Quantitative FinanceIndustries

Requirements

Candidates must possess at least 4 years of full-time professional experience, along with a Bachelor’s, Master’s, PhD, or Postdoc degree in finance, computer science, mathematics, statistics, machine learning, physics, or another scientific discipline. Strong mathematical and analytical abilities, exceptional problem-solving and modeling skills, and demonstrated experience in high-level statistical or applied mathematical research are required. Prior experience in a quantitative role within a trading environment is preferred, and proficiency in programming languages such as Python, C++, Java, or R is necessary.

Responsibilities

Quantitative Researchers at Aquatic Capital Management will create and improve proprietary trading models and strategies, working closely with engineers and senior leaders. They will utilize financial and other data to develop predictive models, develop and leverage statistical and machine-learning models to enhance the research and development system, and create algorithms to monetize predictive signals. Researchers will conduct independent research and originate research topics over time, fostering a culture of lifelong learning and collaboration.

Skills

Python

C++

Java

Statistical Modeling

Machine Learning

Algorithm Development

Data Analysis

Quantitative Research

Trading Strategy Development

Problem-Solving

Mathematical Modeling

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 Unlike many competitors, Aquatic operates without the limitations of outdated systems, allowing for greater agility and responsiveness to market changes.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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