Aquatic Capital Management
Overview
Aquatic was founded with a shared passion for tackling some of the most complex challenges in global financial markets. We apply cutting-edge scientific research and technological innovation to deliver performance. We seek a Software Engineer experienced in developing, managing, and maintaining Machine Learning systems in production. In this role, you will partner with the Quantitative Research team to build battle-tested production trading systems and create automated infrastructure to accelerate delivery of new models to live trading. Responsibilities
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, portfolio researchers to improve the profitability of trading tactics Qualifications
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 No experience required in finance and/or quantitative trading; interest is beneficial Candidate Qualities:
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 Compensation and Benefits
The base salary for this role is anticipated to be between $150,000 and $300,000, 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 determined based on a number of factors, including skills and relevant experience. Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events Development: Open environment to maximize learning and knowledge sharing Time: Generous PTO, paid holidays, competitive paid caregiver leaves About Aquatic
This role represents a unique opportunity to join a quantitative investment manager in its early growth. The firm’s culture is shaped by collaboration, meritocracy, ambition, and calm determination. Aquatic is an equal opportunity workplace. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, disability status, or any other legally protected characteristic. Application Notes
To advance in our interview process, submitting your Github username and public SSH key is required. Do not add the Github URL, only the Username ID.
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Aquatic was founded with a shared passion for tackling some of the most complex challenges in global financial markets. We apply cutting-edge scientific research and technological innovation to deliver performance. We seek a Software Engineer experienced in developing, managing, and maintaining Machine Learning systems in production. In this role, you will partner with the Quantitative Research team to build battle-tested production trading systems and create automated infrastructure to accelerate delivery of new models to live trading. Responsibilities
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, portfolio researchers to improve the profitability of trading tactics Qualifications
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 No experience required in finance and/or quantitative trading; interest is beneficial Candidate Qualities:
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 Compensation and Benefits
The base salary for this role is anticipated to be between $150,000 and $300,000, 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 determined based on a number of factors, including skills and relevant experience. Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events Development: Open environment to maximize learning and knowledge sharing Time: Generous PTO, paid holidays, competitive paid caregiver leaves About Aquatic
This role represents a unique opportunity to join a quantitative investment manager in its early growth. The firm’s culture is shaped by collaboration, meritocracy, ambition, and calm determination. Aquatic is an equal opportunity workplace. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, disability status, or any other legally protected characteristic. Application Notes
To advance in our interview process, submitting your Github username and public SSH key is required. Do not add the Github URL, only the Username ID.
#J-18808-Ljbffr