Job Description

This is a highly unique opportunity for a Quantitative Researcher to join a new and rapidly growing team. In this role you will partner with a close-knit team of data scientists, data engineers, technologists and data sourcing colleagues to identify and research new sector or broad Alphas based on a deep understanding of fundamentals.

Responsibilities:
  • Develop a structured and methodical research agenda combining fundamental knowledge, data exploration and quantitative analysis
  • Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research
  • Conduct detailed data exploration to acquire a comprehensive understanding of the data used to generate Alphas; enrich a wide range of structured and unstructured data into datasets to enable your quantitative research
  • Take a process orientated approach to understand the value drivers of your Alphas
Required Qualifications:
  • 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 (i.e., MBA or accountancy background)
  • Thorough understanding about various valuation approaches and methods
  • 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
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
Nice To Have:
  • Experience with alternative datasets a plus
  • Familiarity with various research/database platforms (Bloomberg, Reuters etc.) would be preferred
Skills:
  • SQL
  • Python
  • Time series analysis
  • Communication skills
  • Analytical and conceptual skills
Technologies:
  • SQL
  • Python
  • C/C++
  • Bloomberg
  • Reuters
Note:

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