Jobs · Finance · New York

Quantitative Researcher - Experienced Hire

Two Sigma · New York, United States · 1 wk ago
HybridFinance$165k–$325k/yrFull-time

About the role

Two Sigma is a leading quantitative investment management and trading firm that applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.

Responsibilities

  • Use a rigorous scientific method to develop sophisticated investment models and shape our insights into how the markets will behave
  • Apply quantitative techniques like machine learning to a vast array of datasets
  • Create and test complex investment ideas and partner with our engineers to test your theories
  • Join our reading circles to stay up to date on the latest research papers in your fields
  • Attend academic seminars to learn from thought leaders from top universities
  • Share insights from conferences focused on statistics, machine learning, and data science

Requirements

  • Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
  • Intermediate skills in at least one programming language (like C, C++, Java, or Python)
  • Experience performing an in-depth research project, examining real-world data
  • Ability to think independently and creatively approach data analysis and communicate complex ideas clearly

Qualifications

  • Intermediate skills in at least one programming language (like C, C++, Java, or Python)
  • Experience performing an in-depth research project, examining real-world data
  • Ability to think independently and creatively approach data analysis and communicate complex ideas clearly

Benefits

  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

Pay

The base pay for this role will be between $165,000 and $325,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. 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 skills, qualifications and experience.

Schedule

Not specified

Skills

  • Intermediate skills in at least one programming language (like C, C++, Java, or Python)
  • Ability to think independently and creatively approach data analysis and communicate complex ideas clearly

Benefits

  • Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
  • Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
  • Learning: Tuition reimbursement, conference and training sponsorship
  • Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
  • Hybrid Work Policy: Flexible in-office days with budget for home office setup

Pay

The base pay for this role will be between $165,000 and $325,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. 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 skills, qualifications and experience.

Schedule

Not specified

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