Job Description
Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world’s most competitive arenas—global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence.
At Aquatic, we believe in pushing the boundaries of possibility. Our vision is to create the world’s leading quantitative trading firm, built on a foundation of applied science and a culture of relentless innovation. By harnessing the power of data, we aim to unlock insights and transform them into strategies that succeed in even the most competitive global markets.
Our goal is simple: to build the world’s best prediction machine. To achieve this, we are constantly exploring new opportunities and expanding our reach across global markets. We are committed to attracting and nurturing top-tier talent—researchers and engineers who share our curiosity and drive. Together, we aim to foster a culture of lifelong learning and collaboration, where every challenge is seen as an opportunity for growth and innovation.
Position Overview
At Aquatic, we are actively recruiting for 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
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, which is 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 carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.
Benefits: 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
This role represents a unique opportunity to join a quantitative investment manager at the foundational level of building a world-class operation from scratch. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination.
Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, ****** orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
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At Aquatic, we believe in pushing the boundaries of possibility. Our vision is to create the world’s leading quantitative trading firm, built on a foundation of applied science and a culture of relentless innovation. By harnessing the power of data, we aim to unlock insights and transform them into strategies that succeed in even the most competitive global markets.
Our goal is simple: to build the world’s best prediction machine. To achieve this, we are constantly exploring new opportunities and expanding our reach across global markets. We are committed to attracting and nurturing top-tier talent—researchers and engineers who share our curiosity and drive. Together, we aim to foster a culture of lifelong learning and collaboration, where every challenge is seen as an opportunity for growth and innovation.
Position Overview
At Aquatic, we are actively recruiting for 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
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, which is 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 carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.
Benefits: 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
This role represents a unique opportunity to join a quantitative investment manager at the foundational level of building a world-class operation from scratch. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination.
Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, ****** orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
#J-18808-Ljbffr
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer position is now open for candidates interested in the Software Developer Jobs sector. This role in Chicago offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
