Aquatic Capital Management

Software Engineer

Chicago, Illinois, United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Quantitative FinanceIndustries

Software Engineer - Machine Learning Systems

Position Overview

  • Location Type: Remote
  • Employment Type: Full-time
  • Salary: (Base salary information is incomplete - further details needed)

Aquatic is a quantitative trading firm dedicated to applying scientific research and technological innovation to global financial markets. The company’s vision is to build the world’s leading quantitative trading firm by harnessing the power of data and fostering a culture of continuous growth and innovation. They are seeking a Software Engineer to build and maintain Machine Learning systems in production, partnering with the Quantitative Research team.

Role Details

  • Develop and manage high quality, robust, and efficient data and model pipelines.
  • Build tools that bring our models to live trading efficiently and in an automated, reproducible fashion.
  • Improve capabilities, performance, reliability, scalability, and throughput of trading systems.
  • Work closely with quantitative and portfolio researchers to improve the profitability of trading tactics.

Requirements

Technical Experience

  • At least 4+ years of full-time professional software development experience.
  • Previous experience with building and maintaining production machine learning systems and/or real-time data ingestion.
  • Strong background in software engineering.
  • Expertise in Python and/or C++.
  • Comfortable with iterative software development; high standards for software quality and hygiene.

Candidate Qualities

  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleagues

Notes

  • No experience required in finance and/or quantitative trading; interest is beneficial.
  • Salary information is incomplete.

Skills

Python
C++
Machine Learning
Data Pipelines
Real-time Data Ingestion
Software Engineering

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.

Land your dream remote job 3x faster with AI