Data Engineer

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

Benefits offered by this job

Private Medical Insurance

Vision Insurance

Dental Insurance

Group Pension

Parental Leave

Parking/Commuter Benefits

Discretionary Bonus Eligibility

Wellness Program

Job summary

Jump Trading Group is seeking a seasoned software engineer to join the Core Data team. You will own and evolve the firm’s instrument and security master, delivering well-modeled reference data across asset classes and supporting research and trading workflows.

Applicants should have extensive Python experience, strong data modeling skills, and a track record with reference data in a Linux environment. This role offers a highly technical environment with mentorship and cross-team collaboration.

Qualifications

• 7+ years of software engineering experience, with strong Python proficiency.
• 5+ years working on reference data or security master systems in an engineering capacity.
• Strong understanding of fundamental datasets and market data and data modelling practices.

Responsibilities

• Dig into technical details and understand end-user needs to implement streamlined data solutions.
• Maintain and evolve the firm’s instrument and security master with accurate reference data across asset classes.
• Design and maintain data models for core reference, fundamental, and market datasets.
• Collaborate with researchers and traders to deliver data optimized for research and trading workflows.
• Provide technical leadership and set data quality standards across the Core Data team.

Skills

Python

Data modeling

Linux

Reference data

Data pipelines

Tools

SQL

ETL pipelines

Job 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.

Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack. The team interfaces with all aspects of the firm, from Trading, Research, and Technology to Risk, Middle Office and Accounting – providing individuals within the group a full 360-degree view of Jump.

The Core Data team, part of the Vendor Data Group, owns the firm’s core reference data, core historical market and fundamental datasets, and the firm’s instrument and security master. This foundational data underpins research and trading across Jump, making the team central to the firm’s investment process.

What You’ll Do:

The ideal candidate will be able to dig into the technical details and work with end-users to understand their needs and implement streamlined solutions to deliver results. We are looking for individuals who are instinctively curious self-starters, demonstrating the ability to independently drive tasks and projects to completion in a team environment.

• 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 You'll Need:

• 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 (e.g., 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 working with various 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

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits

Benefits

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care options
• Employer Paid Group Term Life and AD&D Insurance
• Voluntary Life & AD&D insurance
• Paid vacation plus paid holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness Programs

Annual Base Salary Range

$200,000 — $250,000 USD