Quantitative Trader

CaaS Capital Management; New York (NY); On-site; USD 125,000 - 300,000; Full time

Job summary

An established industry player in investment management is seeking an entry-level Quantitative Trader to join their dynamic team in New York. This role offers the opportunity to work closely with senior traders, engaging in the full cycle of alpha research and strategy implementation. Ideal candidates will have a strong foundation in quantitative subjects and proficiency in Python, enabling them to build analytical tools and manage trade execution effectively. Join this innovative firm to contribute to impactful investment strategies and enhance your skills in a collaborative environment.

Qualifications

• 1-5 years of experience in options/equities research is a plus.
• Strong ability to conduct research on large datasets.

Responsibilities

• Research and implement quantitative strategies in derivatives and equities.
• Build analytical tools to streamline trading and research workflows.

Skills

Python (numpy, pandas)

Mathematical skills

Statistical skills

Research skills

Communication skills

Education

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Bachelor's degree in Computer Science

Job description

Direct message the job poster from CaaS Capital Management

CaaS Capital is a family office based in New York that employs a combined fundamental and quantitative approach to investing in public equities. The company focuses on delivering strong investment results through rigorous research and analysis.

Responsibilities

• Work with senior traders to research and implement quantitative strategies in derivatives and equities
• Participate in the full cycle of alpha research, including idea generation, data collection, modelling and backtest
• Build analytical tools to streamline daily trading and research workflows
• Manage trade execution, monitor strategy performance and portfolio risk

Qualifications

• 1-5 years of experience; options/equities research is a plus but not required
• Bachelor’s degree or higher in quantitative subjects such as Mathematics, Statistics, Computer Science, or related fields
• Strong mathematical and statistical skills, with demonstrated ability to conduct research on large noisy real-world datasets
• Proficiency in Python (numpy, pandas) in a Linux environment
• Strong communication, able to present complex ideas clearly

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Investment Management

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