Quantitative Developer | Trading team at Jump Trading International Limited

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

11 Feb, 26

Salary

0.0

Posted On

13 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Machine Learning, Software Development, Quantitative Research, Portfolio Optimization, Data Pipeline, System Management, High-Performance Computing, Distributed Systems, Problem Solving, Collaboration, Intellectual Curiosity, Scalability, Automation, Troubleshooting

Industry

Financial Services

Description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. We’re expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers and developers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. As a quantitative developer, you will collaborate closely with the team’s researchers and engineers to architect, build, and maintain the team’s research infrastructure and production systems. You will work closely with the quantitative researchers on the team to create and improve research, develop and build out trading infrastructure, improve the scalability of the production systems while maintaining the production trading environment and troubleshooting problems, and developing software to automate and improve deployment, configuration, validation. As a new team, we’re looking for someone who enjoys open-ended problems and owning their solutions - you'll be a part of a cutting-edge team leveraging state-of-the-art technology and data, while working in a collaborative environment with opportunities for professional growth. What you'll do: You'll contribute to one or more of the following projects: Machine learning development: Build the team's proprietary end-to-end machine learning pipeline. Work extensively with quantitative researchers to understand requirements and constraints, implement proprietary ML features and algorithms, and continuously improve model design, tools, and infrastructure. Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features. Portfolio optimization: Design a portfolio optimization system to support comprehensive portfolio management strategies. Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades. Skills You’ll Need: 5+ year track record of solving challenging problems through coding with real metrics & impact in industry and/or academia. Passion for building efficient, modular software to tackle challenging problems. Experience is a plus, but a strong desire to learn and grow is essential. Strong software development skills in Python and/or C++. Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook. Ability to reason through quantitative problems and communicate effectively with quantitative researchers. Reliable and predictable availability to ensure smooth operations of production systems. Over two years of experience working with industrial grade codebases using compiled languages such as C++ is advantageous. Familiarity with high-performance computing (HPC) and distributed large-scale model training is a plus.

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Responsibilities

As a quantitative developer, you will collaborate closely with researchers and engineers to architect, build, and maintain the team’s research infrastructure and production systems. You will also work on projects such as machine learning development, microstructure research, and portfolio optimization.