Quantitative DS Researcher

The role

Septem Capital is seeking an exceptional individual to join the firm as a Quantitative DS Researcher. The person must have a strong understanding of the investment research process to create computer-based models.

It's impact: Yango is a unique investment platform and they employ is cutting edge. They desire people who will help them in their 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 a synergy of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

Requirements

• Relevant experience in Research / Software engineering (through employment or academic activities).
• 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 deep thinker, creative, persevering, smart, a self-starter, etc.
• Critical thinking and ability to come up with non-standard approaches.
• Solid programming skills on Python.
• Strong work ethic.

Additional preferred qualifications:

• 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.

Company offers

• Work without routine in a leading investment company.
• Competitive compensation package, which may include annual bonuses and annual salary increases.
• Healthy work-life balance support.
• Regular team building, competitions and corporate events.

Hiring process

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