WorldQuant develops and deploys systematic financial strategies across a broad range 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 market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude 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 outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
What You'll Bring;
A successful candidate will possess:
- A minimum of 4 years of writing production-quality code in Python on Linux platform
- Candidate must be willing to learn C++. Experience in C++ is a strong plus
- Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
- Strong understanding and experience with Linux system programming fundamentals
- Ability to develop large-scale, distributed systems
- Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
- Self-motivated and able to work independently with minimal direction
- Proficiency in English
An outstanding candidate will also have experience with one or more of:
- Developing systems for managing and performing computation on large-scale graph data
- Streaming / dataflow systems
- Candidates need not have prior experience in financial services.
What we offer:
- Competitive compensation package;
- Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc.);
- Possibility for business trips;
- 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;
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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
