Quantitative Researcher PhD
Quantitative Researcher PhD
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 150000 - 200000
1 Vacancy
Job Description
Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the worlds most competitive arenasglobal financial markets. From the very beginning we have been driven by a deep commitment to applying cuttingedge 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 worlds 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 worlds 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 toptier talentresearchers 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.
As a Quantitative Researcher you will work with a team to develop a variety of signals models and strategies for trading financial markets. As part of the role you will be responsible for the design and implementation of various components of our research system and you will evaluate their effectiveness by using rigorous statistical methods. As part of a small team with exposure to multiple areas of research you will have the opportunity to rapidly grow your knowledge of quantitative finance.
Candidate requirements:
- Active PhD graduates or Postdocs pursuing a degree in mathematics statistics machine learning physics computer science or other scientific discipline
- Exceptional mathematical analytical and problemsolving ability
- Programming proficiency in Python or C
- Experience in solving dataintensive problems a plus
- Demonstrated ability to complete statistical or applied mathematical research a plus
- Successful participation in mathematical competitions a plus e.g. IMO Putnam
- Prior experience in a quantitative role within a trading environment a plus
Desired qualities:
- Intellectually curious creative and rigorous
- Willingness to challenge assumptions and revise opinions in the face of compelling evidence
- Selfmotivated and highly productive with a strong sense of urgency and accountability
- Willing to take ownership of ones work working both independently and within a small team
- Meticulous attention to detail
- Ability to manage and prioritize multiple threads of work
- Able to work across disciplines
- Excellent communication and collaboration skills
- Comfortable providing and receiving actionable feedback in a collaborative team setting
Benefits:
- Benefits: Fully paid medical dental and vision for employees and dependents competitive 401k plan employerpaid 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
Aquatic Capital
This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firms 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.
Employment Type
Full Time
