Quadeye is one of the largest India-based proprietary trading firms. Since inception, we have consistently grown at a handsome rate and have a distinct track record of success behind us. We run a stable business spread globally across various asset classes. Our greatest strength is our work culture which takes a collaborative and non-hierarchical approach against an opposing prevalence in the industry. We strive as one team to stay ahead of the competition all the time.
We are looking to hire Software Developer-Python having 0- 2 years of work experience to work with our product team for Quadeye’s High-Frequency Trading environment.
Find out more about what we do, our history, and how you could be a part of our future at https://www.quadeye.com/about-us/.
Key Responsibilities
- Understanding the problems and issues related to the smooth operations of our processes and software.
- Coming up with good engineering solutions for problems.
- Implementing the code for creating and modifying the software.
- Testing the code written thoroughly.
- Deploying the code in production.
- Overviewing the code in production and resolving the arising issues.
Experience and Qualification
- Engineering degree in Computer Science (preferred) or any other discipline
- Ability to work in a fast-paced environment managing multiple high-priority projects.
- Working with Python and bash on a regular basis
- Advantageous if the candidate has familiarity with pandas/NumPy.
- Strong Knowledge of Shell and Python scripting
- Working knowledge of Linux
- Excellent problem-solving abilities
- Good written and oral communication skills
- Willingness to learn and work on new technologies.
Benefits:
- Competitive compensation
- All Meals & Snacks
- Group health insurance and term insurance
- Annual Offsite
- 6 weeks of paid vacation
- In-house physiotherapist
Top Skills
What We Do
Quadeye combines the best of both worlds: the opportunity and spirit of a startup and the stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other.
By having deepest possible understanding of the financial markets and translating that understanding into great automated trading strategies, we have built a distinct track record of success. We trade across many asset classes and instruments, using a variety of models, across the globe.
