Job Description

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.

Responsibilities:
  • 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
Required Qualifications:
  • 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 mindset: be a problem solver, creative, steadfast, smart, a self-starter
  • 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
Benefits:
  • Dynamic work without routine in a leading international company
  • Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service)
  • 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 caregivers
  • Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development
  • Fruits & snacks in the office
Nice To Have:
  • 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
Skills:
  • Problem solving
  • Creativity
  • Steadfastness
  • Self-starter attitude
  • Critical thinking
  • Programming skills (C++ and Python)
Technologies:
  • Applied Mathematics
  • Computer Science
  • Financial Economics
Note:

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