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Senior Quantitative Researcher

Агентство / HR ресурс  New Media ( finexecutive.com )
Москва, Санкт-Петербург, Россия
Сеньор
Аналитика, Data Science, Big Data • Data Analysis
9 февраля 2022
Релокация • Работа в офисе
Опыт работы более 5 лет
Агентство  New Media
Описание вакансии

CV english only

We are seeking an exceptional individual to join the firm as a Senior Quantitative Researcher. Position based in Moscow and Saint-Petersburg

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. As we pursue our goal of creating new alphas, we need researchers who will lead us there. Our unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our steadfast pursuit to succeed.

 

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.

 

Job 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.

 

What we offer:

  • Multifaceted work without routine in a leading international company;
  • Opportunity for promotion to Vice President in 1 to 2 years, based upon performance;
  • Competitive compensation package, which may include annual bonuses and annual salary increases;
  • Healthy work-life balance support (flexible start of working day, parental leave, sabbatical aer 5 years of service etc);
  • Possibility for business trips (US and other countries);
  • Regular team building, competitions and corporate events;
  • Monthly team lunches;
  • Social package:
    • Medical insurance and cancer insurance for employees and their family member including dental (wife/husband, children under 23 years old);
    • Life insurance for employees only;
    • Support program for employees and their relatives on psychological, legal, and financial issues;
    • Sick leave – 100% of salary, including full payment of maternity leave (140 days);
    • Parental leave program up to 3 weeks for secondary care givers (fathers) with 100% pay;
    • 3 additional vacation days per year;
  • Culture of continuous learning: certification, online and offline training in Russia and abroad, English classes, mentoring in professional development;
  • Fruits & snacks in the office;
  • Relocation package in certain cases (if applicable).

 

Stages of our recruitment process:

  • CV review;
  • Tests (Math and Programming);
  • 3 interviews (in case of successfully completed tests);
  • 3 more interviews (in case of successfully completed previous stage interviews);
  • Interview with General Manager (in case of successfully completed previous stage interviews);
  • Decision.

Специализация
Аналитика, Data Science, Big Data
Отрасль и сфера применения
Data Analysis
Уровень должности
Сеньор