Software Engineer

Software Engineer

Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and manage cutting-edge Machine Learning systems for trading.
  • Company: Join Aquatic, a pioneering firm in global financial markets.
  • Benefits: Enjoy competitive salary, full health coverage, and generous PTO.
  • Why this job: Make an impact in finance with innovative tech and collaborative teams.
  • Qualifications: 2+ years in software development; Python or C++ expertise required.
  • Other info: Dynamic growth environment with excellent learning opportunities.

The predicted salary is between 43200 - 72000 Β£ per year.

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.

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 2+ 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

  • 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

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

  • For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
  • Wellness programs, casual dress, snacks, lunch, game room, team and company events
  • Open environment to maximize learning and knowledge sharing
  • Generous PTO, paid holidays, competitive paid caregiver leaves

This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. 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, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Software Engineer employer: Aquatic Capital Management

Aquatic is an exceptional employer that fosters a culture of collaboration and innovation, making it an ideal place for Software Engineers passionate about tackling complex challenges in global financial markets. With a commitment to employee growth, generous benefits including fully paid medical coverage and wellness programs, and a dynamic work environment that encourages learning and knowledge sharing, Aquatic offers a unique opportunity to thrive in a meritocratic setting. Join us to be part of a team that values ambition and determination while delivering impactful results.
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Contact Detail:

Aquatic Capital Management Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Software Engineer

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Aquatic on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the technical interview by brushing up on your Python and C++. Practice coding challenges and be ready to discuss your past projects. We want to see how you think and solve problems!

✨Tip Number 3

Show your passion for machine learning and trading systems during interviews. Share any personal projects or relevant experiences that highlight your skills and enthusiasm. It’s all about making a memorable impression!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Aquatic team.

We think you need these skills to ace Software Engineer

Machine Learning
Data Pipelines
Automated Infrastructure
Python
C++
Software Development
Real-time Data Ingestion
Software Quality
Collaboration
Problem-Solving
Accountability
Feedback
Scalability
Performance Improvement

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the Software Engineer role at Aquatic. Highlight your experience with machine learning systems and any relevant projects you've worked on. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for technology and finance, and explain why you're excited about the opportunity at Aquatic. Let us know how you can contribute to our team!

Showcase Your Technical Skills: Be sure to highlight your expertise in Python and/or C++. If you've built or maintained production machine learning systems, share those experiences! We love seeing concrete examples of your work.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!

How to prepare for a job interview at Aquatic Capital Management

✨Know Your Tech Inside Out

Make sure you brush up on your Python and C++ skills, as these are crucial for the role. Be prepared to discuss your experience with machine learning systems and real-time data ingestion, as well as any specific projects you've worked on that demonstrate your technical prowess.

✨Show Your Problem-Solving Skills

Aquatic values a strong bias for action and accountability. Think of examples where you've independently sought solutions to complex problems, especially in a team setting. Be ready to explain how you approached these challenges and what the outcomes were.

✨Emphasise Collaboration

Since you'll be working closely with quantitative researchers, highlight your experience in collaborative environments. Share instances where you provided or received feedback effectively, and how this contributed to achieving team goals. This will show you're a great fit for their culture.

✨Express Your Curiosity

Aquatic is all about curiosity and continuous growth. During the interview, express your eagerness to learn and explore new technologies or methodologies. Discuss any recent trends in machine learning or trading systems that excite you, as this will demonstrate your passion for the field.

Software Engineer
Aquatic Capital Management
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