Core Data Engineer
Jump Trading is a global trading firm.
About Jump Trading
Jump Trading is a global trading firm focused on research-driven trading and the engineering of scalable models, tools, infrastructure, and execution systems. Its operations combine trading, technology, AI/ML, and quantitative research, and it also runs research and talent programs including conference travel grants and a fellowship program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work with diverse datasets to create scalable and validated data representations for consumers. You will review vendor documentation, coordinate with external vendors, anticipate data issues, implement processing controls, maintain instrument and security master data, design models across reference, fundamental and market datasets, support research and trading workflows and provide technical leadership and mentorship.
Requirements
- 7 or more years of software engineering experience
- Strong Python proficiency
- 5 or more years of engineering experience with reference data or security master systems
- Familiarity with identifiers corporate actions exchange data venue data and calendar data
- Strong understanding of fundamental and market datasets
- Understanding of data modeling in modern quantitative or proprietary trading firms
- Strong unit testing and test-driven development practices
- Experience with data storage formats filesystems and event queues preferred
- Hands-on Linux experience
- Willingness to develop additional technical skills
- Excellent written and verbal communication skills
- Strong analytical and problem-solving skills
- High-frequency trading or proprietary trading experience is a strong plus
Responsibilities
- Build scalable centralized and validated data representations
- Review datasets and vendor documentation
- Coordinate with external vendors to clarify data
- Implement controls to identify and resolve daily processing issues
- Own and evolve the instrument and security master
- Design and maintain data models for reference fundamental and market datasets
- Deliver data optimized for research and trading workflows
- Set standards for data quality testing and system design
- Provide technical leadership and mentorship
Benefits
- Private medical insurance
- Vision insurance
- Dental insurance
- Travel medical insurance
- Group pension scheme
- Group life assurance
- Income protection scheme
- Paid parental leave
- Parking benefits
- Commuter benefits
- Discretionary bonus eligibility
- HSA options
- FSA options
- Dependent care options
- Employer-paid group term life insurance
- Employer-paid AD&D insurance
- Voluntary life insurance
- Voluntary AD&D insurance
- Paid vacation
- Paid holidays
- Retirement plan with employer match
- Wellness programs