For a hi-tech company developing products for financial managment, with offices in center
The company develops and deploys systematic financial strategies across a variety 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 exploiting market inefficiencies. Our teams
work collaboratively to drive the production of alphas and financial strategies — the foundation of a
sustainable, global investment platform.
Our success is built on a culture that pairs academic sensibility with accountability for results.
Individuals are encouraged to think openly about problems, balancing intellectualism and practicality.
Great ideas come from anyone, anywhere. Individuals are encouraged to challenge conventional
thinking and possess a mindset of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and
people who demonstrate an exceptional talent. There is no roadmap to future success, so we need
people who can help us create it. Our collective intelligence will drive us there.
Building mathematical, algorithmic, computer-driven models that seek to predict the movement
of financial markets
Performing analysis of financial datasets via existing tools and data, and developing newer
Exploring academic literature on mathematical finance
Constructing innovative technological tools and bringing a product mindset to help conduct research
faster and with greater efficacy
To understand the connections between advanced mathematical, computational and machine
learning methods and their intersection with the modern financial industry
To learn from world-leading researchers
To work in a friendly and collegial working environment
To have the opportunity to be promoted to Vice President in 2-4 years; followed by possible
Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer
Science, Physics, Electrical engineering or equivalent.
High GPA and academic grades.
Research mindset: deep thinker, creative, strong work ethic, persevering, smart & a self-starter.
Programming skills — C++ and Python predominantly, but newer skills welcomed too.
Strong interest in learning about worldwide financial markets.
Strong communication skills in English — including both written and verbal.
As a plus:
While not mandatory, a strong interest in financial markets will definitely be beneficial. Prior
experience in quant research will count as a big plus.
Participant of International or regional Mathematics/Programming/Physics Olympiads.
Strong record of research achievement — examples include scientific publications, conference
presentations, grants or industry awards.