Senior Data Engineer - Core Reference Data & Trading

P2P; New York (NY); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Private Medical, Vision and Dental Ins

Travel Medical Insurance

Group Pension Scheme

Group Life Assurance and Income Prot.*

Paid Parental Leave

Parking and Commuter Benefits

Discretionary bonus eligibility

Medical, dental, and vision insurance

HSA, FSA, and Dependent Care options

Employer Paid Group Term Life and AD&D

Voluntary Life & AD&D insurance

Paid vacation plus paid holidays

Retirement plan with employer match

Paid parental leave

Wellness Programs

Job summary

Jump Trading Group is building a world-class Data Platform and seeks a seasoned engineer to own and evolve the Core Data and reference data assets. You will collaborate with traders and researchers to deliver high-quality data for research and trading workflows.

The role emphasizes data modeling, vendor engagement, and mentorship as you scale a centralized data mart supporting asset classes across markets. A strong Python background and Linux proficiency are essential.

Qualifications

• 7+ years of software engineering experience with strong proficiency in Python.
• 5+ years working on reference data or security master systems in an engineering capacity.
• Familiarity with common reference data used in security masters (identifiers, corporate actions, exchange/venue and calendar data).
• Strong understanding of fundamental datasets as well as market datasets, including index and exchange data.
• Understanding data modeling in modern quant/prop shops.
• Strong unit-testing / test-driven coding style.
• Experience with data storage formats, filesystems, and event queues preferred.
• Hands-on experience working within a Linux environment.
• Willingness to diversify and master other technical skills on the job.
• Excellent written and verbal communication, analytical, and problem-solving skills.
• Experience in high-frequency trading environments or similar proprietary trading firms is a strong plus.

Responsibilities

• Working with a variety of datasets, provide a scalable, centralized, validated representation of data for consumers to utilize.
• Review and understand various datasets leveraging vendor documentation, liaising with external vendors as needed to better understand data.
• Anticipate data behavior, based on analysis and understood vendor and market conventions, and implement appropriate solutions and controls to identify and resolve issues during daily processing.
• Own and evolve the firm’s instrument and security master, ensuring accurate, well-modeled reference data across asset classes.
• Design and maintain data models for core reference, fundamental, and market datasets (including index and exchange data)
• Partner with quantitative researchers and traders to deliver core data in forms optimized for research and trading workflows.
• Provide technical leadership and mentorship, setting standards for data quality, testing, and system design across the Core Data team.

Skills

Python

Data modeling

Unit testing

Linux

Communication

Problem-solving

Mentorship

Job description

Jump Trading Group is building a world-class Data Platform and seeks a seasoned engineer to own and evolve the Core Data and reference data assets. You will collaborate with traders and researchers to deliver high-quality data for research and trading workflows.

The role emphasizes data modeling, vendor engagement, and mentorship as you scale a centralized data mart supporting asset classes across markets. A strong Python background and Linux proficiency are essential.