Entry-Level Quantitative Strategist

Austin OR Chicago OR Geneva OR London OR Miami OR New York OR Old Greenwich OR Paris OR San Francisco OR Singapore OR West Palm Beach OR Zug

WorldQuant

WorldQuant is a quantitative asset management firm, founded in 2007, with more than 850 employees across 13 countries.

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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role: 

  • We are seeking candidates with a quantitative educational background and an interest in systematic trading

Job Responsibilities (include, but not limited to the following)

  • Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies
  • Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

What You’ll Bring:

  • PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
  • Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
  • Working knowledge of Linux
  • Strong problem-solving abilities
  • Strong moral integrity and work ethic

Our Benefits:

  • Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days
  • Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
  • Training: learning and development courses, speakers, team-building off-site
  • Employee resource groups

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $150,000 to $200,000 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

 

 

 

 

 

 

 

 

 

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Copyright © 2024 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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Tags: Computer Science Engineering Finance Linux Mathematics PhD Physics Privacy Python Research Statistics Trading Strategies

Perks/benefits: Career development Competitive pay Fitness / gym Flex hours Flexible spending account Flex vacation Insurance Medical leave Parental leave Salary bonus Team events Unlimited paid time off Wellness

Regions: Asia/Pacific Europe North America

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