WorldQuant seeks a Deep Researcher to join a new and rapidly growing team. The role involves developing a structured and methodical research agenda, becoming a domain expert on fundamental topics, and conducting detailed data exploration to acquire a comprehensive understanding of the data used to generate Alphas.
Requirements
- At least 2 years of relevant financial research experience
- Proven experience of extracting insights from large and complex datasets using SQL and Python
- Demonstrable financial knowledge - passed at least Level I of the CFA program, or similar financial qualification
- Expertise in time series analysis and models
- Proficient in coding in C/C++ and Python
- Excellent communications skills (both written and oral English)
- Strong analytical and conceptual skills encompassing finance and related areas of financial investment
- Familiarity with various research/database platforms (Bloomberg, Reuters etc.) would be preferred
Benefits
- 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
