Quantitative Researcher

Quantitative Researcher

Full-Time 120000 - 240000 € / year (est.) No home office possible
Aquatic Capital Management

At a Glance

  • Tasks: Create and enhance trading models while collaborating with engineers and leaders.
  • Company: Join Aquatic Capital, a leader in innovative financial solutions.
  • Benefits: Competitive salary, full medical coverage, generous PTO, and wellness programs.
  • Other info: Dynamic work environment with opportunities for independent research and career growth.
  • Why this job: Make an impact in global financial markets using cutting-edge research and technology.
  • Qualifications: 4+ years in quantitative roles; strong analytical and programming skills required.

The predicted salary is between 120000 - 240000 € per year.

About Aquatic
Aquatic Capital 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.

Role Overview
Aquatic is looking for exceptional Quantitative Researchers to create and improve proprietary trading models and strategies while working closely with engineers and senior leaders across the firm. Quantitative Researchers within Aquatic work on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time.

Responsibilities
Specific responsibilities range from utilizing financial and other data in an effort to create or improve predictive models, developing and/or leveraging leading‑edge statistical and machine‑learning models to enhance the research and development system, creating algorithms to monetize the predictive signals.

Technical Requirements
At least 4+ years of full‑time professional experience
Bachelors, Masters, PhD or Postdoc candidates in finance, computer science, mathematics, statistics, machine learning, physics, or other scientific discipline
Solid mathematical and analytical ability; exceptional problem‑solving and modeling ability
Demonstrated ability to complete high level, statistical or applied mathematical research
Prior experience in a quantitative role within a trading environment a plus
Experience in solving highly complex, data intensive problems
Programming proficiency in any of the following: Python, C++, Java or R

Behavioral Requirements
Strong research hygiene
Self‑motivated and highly‑productive, with a strong sense of ownership and urgency
Intellectually curious, creative, and rigorous
Excellent communication and collaboration skills
Meticulous attention to detail
Able to work across disciplines
Willing to take ownership of his/her work, working both independently and within a small team
Driven and tenacious approach with desire to build something from scratch

Compensation
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
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

Equal Opportunity Statement
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.

Quantitative Researcher employer: Aquatic Capital Management

Aquatic Capital is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Quantitative Researchers to thrive. With a commitment to employee growth, Aquatic offers generous benefits including fully paid medical coverage, competitive 401k plans, and ample opportunities for independent research, all within a dynamic and supportive work environment. Located in a vibrant financial hub, employees enjoy a stimulating atmosphere that encourages curiosity and excellence, ensuring a rewarding career path.

Aquatic Capital Management

Contact Detail:

Aquatic Capital Management Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Researcher

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to quantitative research. You never know who might have a lead on your dream job or can offer valuable insights.

Show Off Your Skills

Create a portfolio showcasing your projects and research. Whether it's a GitHub repository or a personal website, having tangible evidence of your skills can really set you apart from the competition.

Ace the Interview

Prepare for technical interviews by brushing up on your programming skills and statistical knowledge. Practice common interview questions and be ready to discuss your past projects in detail—this is your chance to shine!

Apply Through Our Website

Don't forget to apply directly through our website! It shows you're genuinely interested in joining Aquatic and gives us a better chance to see your application in the right light.

We think you need these skills to ace Quantitative Researcher

Quantitative Research
Predictive Modelling
Statistical Analysis
Machine Learning
Algorithm Development
Programming in Python
Programming in C++

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Quantitative Researcher role. Highlight your relevant experience in finance, statistics, and programming. 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 showcase your passion for tackling complex challenges in financial markets. Let us know why you're excited about the opportunity at Aquatic.

Showcase Your Projects:If you've worked on any relevant projects or research, make sure to include them! We love seeing examples of your problem-solving skills and innovative thinking, especially in quantitative roles.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Aquatic Capital Management

Know Your Numbers

As a Quantitative Researcher, you'll be expected to have a solid grasp of mathematical concepts and statistical methods. Brush up on your key formulas and be ready to discuss how you've applied them in past projects. This will show your technical prowess and help you stand out.

Showcase Your Projects

Prepare to talk about specific projects you've worked on that relate to trading models or predictive analytics. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This demonstrates not just your skills but also your problem-solving abilities.

Brush Up on Programming Skills

Since programming proficiency is crucial, make sure you're comfortable discussing your experience with Python, C++, Java, or R. You might even be asked to solve a coding problem during the interview, so practice some common algorithms and data structures beforehand.

Emphasise Collaboration

Aquatic values teamwork, so be prepared to discuss how you've collaborated with engineers or other researchers in the past. Highlight any successful partnerships and how they contributed to your projects. This will show that you can work well in a team-oriented environment.