AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.
We are a new Quantitative Trading Team specializing in global equities and leveraging machine learning models to drive daily trading decisions. The team operates at the intersection of cutting-edge data science and real-time trading, using advanced ML signals to identify opportunities in equity markets every day. We are seeking Quantitative Developers to join us in our Shanghai office.
As a Quantitative Developer on the team, you will play a key role in building out the core trading pipeline, data infrastructure, portfolio optimization tools and any complex tools as needed. Our team emphasizes a tight-knit, collaborative culture where autonomy and initiative are highly valued.
Qualififcations & Skills
- Minimum of 3 years of professional software development experience, preferably in trading or finance environments where high-performance and reliability are crucial.
Technical Proficiency (required):
- Strong Python programming skills or strong Q/KDB+ (at least one is required)
- Strong software engineering skills, particularly under Linux environments
- Familiarity with GUI programming is beneficial but not required
- CI/CD & Tools: Hands-on experience with CI/CD processes and tools for automated testing, continuous integration, and deployment. Familiarity with modern development
workflows (git, code reviews, pipelines) to ensure smooth releases. - Ability to balance tactical work with pursing long-term strategic objectives
- Ability to debug complex issues under Linux (memory corruption & leaks, buffer
overflows, etc)
Education:
- Degree in Computer Science, Engineering, or a related technical field. A strong foundational knowledge of computer science principles and software engineering
practices is expected. - Communication: Effective and professional communication skills. Ability to collaborate in a team and convey technical ideas clearly. Good written English is essential, especially
for documentation and code reviews
Additional Skills (preferred)
- Knowledge of containerization technologies (Docker, Kubernetes)
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience with distributed computing frameworks or cluster management tools (e.g., SLURM)
Personal Attributes:
- High degree of autonomy and initiative
- Team-oriented mindset and strong collaborative skills
- Commitment to making significant contributions, which will be actively recognized and rewarded
Strong work ethic, be enthusiastic to work on the bleeding edge of technology, and have the drive to push through complex initiatives
Start Date
- Ideally in June 2025
- Only full time applicants will be considered
We offer the opportunity to work on challenging problems in a collaborative and fast-paced trading environment. If you are passionate about building high-performance trading systems and
eager to be part of a new initiative within a leading quant firm, we encourage you to apply.