Senior Quantitative Researcher
External
Worldquant · Yerevan, ArmeniaPrepare for this interview
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Requirements
- Proven 3 years experience in quantitative equity research (buy side or sell side);
- Background in working with large data sets;
- Degree 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: be a problem solver, creative, steadfast, smart, a self-starter, etc.;
- Ability to work independently with minimal direction;
- Critical thinking and ability to come up with non-standard approaches;
- Solid programming skills (C++ and Python);
- Good knowledge of English (both oral and written);
- Strong work ethic.
- Additional Preferred Qualifications:
- Experience working with corporate actions data;
- Familiarity with equity index basics;
- International or regional Mathematical/Programming/Physics Olympiad medals;
- Strong record of academic achievement (PhD, scientific publications, conference presentations, grants or awards);
- Knowledge of financial economics, including but not limited to portfolio theory, asset pricing, corporate finance, derivatives, etc.
Benefits
Additional Information
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. 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 an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.
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