Quantitative Researcher

Posted 9 Days Ago
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Yerevan
Entry level
Financial Services
The Role
The Quantitative Researcher role at WorldQuant involves building algorithmic, computer-driven models, conducting research on academic quantitative finance literature, exploring new data, and applying innovative methods in Applied Mathematics, Computer Science, and Financial Economics.
Summary Generated by Built In

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: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.


Job Responsibilities (including, but not limited to, the following):

  • Building algorithmic, computer-driven models;
  • Conducting research on academic quantitative finance literature;
  • Exploring new data;
  • Applying a synergy of innovative methods in Applied Mathematics, Computer Science and Financial Economics

What You’ll Bring:

  • Relevant experience in Research / Software engineering (through employment or academic activities);
  • Degree or equivalent experience from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar;
  • Research mind-set: being a deep thinker, creative, persevering, inquisitive, a self-starter, attentive to detail, etc.;
  • Critical thinking and ability to come up with non-standard approaches;
  • Solid programming skills (C++ and/or Python);
  • Good knowledge of English (both oral and written);
  • Strong work ethic.

Additional Preferred Qualifications:

  • International or regional Mathematical/Programming/Physics Olympiad medals;
  • Strong record of academic achievement (PhD or equivalent experience, scientific publications, conference presentations, grants or awards);
  • Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc.

What We Offer:

  • Dynamic work without routine in a leading international company;
  • Competitive compensation package, which may include annual bonuses and salary increases;
  • Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc);
  • Possibility for business trips to the US and other countries;
  • Regular team building, competitions and corporate events;
  • Monthly team lunches;
  • Medical insurance;
  • Life insurance;
  • Support program for employees and their relatives on psychological, legal, and financial issues;
  • Parental leave program for secondary care givers;
  • Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development;
  • Modern office in the city center with coffee, fruits & snacks!
  • Relocation package in certain cases

Stages of our Recruitment Process:

  1. CV review;
  2. Tests (Math and Programming);
  3. 3 interviews (in case of successfully completed tests);
  4. 3 more interviews;
  5. Interview with WorldQuant General Manager;
  6. Decision.

Position based in Yerevan, Armenia.

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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.

Top Skills

C++
Python
The Company
HQ: Old Greenwich, CT
2,008 Employees
On-site Workplace
Year Founded: 2007

What We Do

WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.

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