About Us
Kernel Trading Technologies started as a trading group in a hedge fund and is built on a successful track record of trading systematic strategies powered by scientific and cutting-edge technologies. The team is consisted of successful portfolio managers from top quantitative funds, top-notch machine learning researchers, statistics professors from academia and excellent technologist previously from high-frequency trading space. The team focuses on statistical arbitrage strategies trading global futures and has achieved high return and Sharpe every single year since inception. We are constantly looking for improvements to power and evolve our research and trading platform to expand our success story.
The Role
We are seeking a highly motivated individual with strong data or computer science skills to support and enhance our quantitative trading operations. The role combines real-time trading oversight, process automation, and cross-team collaboration, with room to grow into supervisory responsibilities in a regulated environment.
Key Responsibilities
- Oversee quantitative trading activity during market hours, monitoring strategy performance, execution quality, and key risk or control thresholds.
- Maintain and enhance monitoring tools, dashboards, alerts, and operational runbooks to support safe, scalable trading operations.
- Coordinate and lead incident response, trade and position reconciliations, and issue resolution with internal teams and external counterparties.
- Support portfolio operations (including rebalancing and inventory or constraint management) using data-driven and automated workflows.
- Develop a strong understanding of market structure, broker services, and trading platforms, and collaborate with portfolio managers, engineers, and other stakeholders to turn recurring operational issues into durable process and system improvements.
Required Skills & Qualifications
- Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Engineering, Finance, Economics, or a related quantitative field.
- 3+ years of relevant experience in the financial industry.
- Strong analytical and problem-solving skills with a data-driven mindset.
- Proficiency in Python and familiarity with Linux-based environments.
- High attention to detail, strong communication skills, and the ability to operate in a fast-paced environment.
- Interest in taking on increasing levels of oversight and supervisory responsibility in a regulated trading environment.
