Quantitative Trading Research Intern

Aquatic Capital Management

Greater London

On-site

GBP 25,000 - 35,000

Full time

14 days+
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Benefits offered by this job

Fully paid medical, dental, and vision for employees and dependents
Competitive 401k plan
Wellness programs
Generous PTO and paid holidays

Job summary

Aquatic Capital Management is looking for a Quantitative Research Intern in Greater London. As part of the team, you will develop and implement trading signals, models, and strategies, while honing your skills in quantitative finance. This role seeks an active student in mathematics or related fields with proficiency in Python and quantitative analysis. The position offers comprehensive benefits including medical coverage and flexible work environments. It’s a chance to shape a collaborative culture in a growing firm.

Qualifications

  • Active student with expected graduation between Fall 2027 and Spring 2028.
  • Demonstrated proficiency in quantitative analysis and problem-solving.
  • Comfortable tackling data-intensive challenges.

Responsibilities

  • Develop and implement quantitative trading signals, models, and strategies.
  • Evaluate research systems components using rigorous statistical methodologies.
  • Collaborate with the team to enhance expertise in quantitative finance.

Skills

Quantitative analysis
Python programming
Statistical research
Problem-solving

Education

BS, MS, or PhD in mathematics, statistics, machine learning, physics, or computer science

Job description

Aquatic Capital Management is looking for a Quantitative Research Intern in Greater London. As part of the team, you will develop and implement trading signals, models, and strategies, while honing your skills in quantitative finance. This role seeks an active student in mathematics or related fields with proficiency in Python and quantitative analysis. The position offers comprehensive benefits including medical coverage and flexible work environments. It’s a chance to shape a collaborative culture in a growing firm.
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