Software Engineer, Research – Cumberland Systematic

Drweng; New York (NY); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

Group medical, pharmacy, dental, and vision insurance

401(k) with discretionary employer match

Short and long-term disability insurance

Life and AD&D insurance

Health savings accounts and flexible spending accounts

Job summary

Drweng is seeking a Software Engineer for a multi-asset trading team in New York, NY. This role focuses on designing and developing systems for global trading operations with high availability.

Ideal candidates should have strong Python skills and be able to manage large data sets. The annual base salary range is $175,000 to $225,000, along with comprehensive benefits such as medical and dental insurance, 401(k) matching, and more.

Qualifications

• Proven experience independently driving projects to completion.
• Built complex systems in modern Python that are maintainable.
• A working knowledge of type safety and type systems.

Responsibilities

• Design, develop, test, document, and maintain software and infrastructure.
• Accelerate the research lifecycle from data engineering to analysis.
• Provide on-call support as needed.

Skills

Python experience

Managing large timeseries data

Strong verbal and written communication skills

Job description

We are looking for a Software Engineer to join a multi-asset trading team focused on mid‑and high‑frequency fully systematic strategies in the delta one space. The role involves designing and developing the full stack needed to enable a global trading operation with high availability requirements, integrating with data vendors, blockchain infrastructure, and data management solutions.

Candidates should have strong initiative and proven experience independently driving projects to completion, working from high‑level requirements and collaborating closely with quantitative researchers.

Responsibilities

• Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research
• Accelerate the research lifecycle from data engineering to feature generation and analysis
• Integrate with diverse data sources such as blockchains, exchanges, and data vendors
• Test at the unit, functional, and integration levels
• Work within a small team as well as independently with a strong user focus
• Provide on‑call support as needed

Qualifications

• Python experience gained through professional experience
• Built complex systems in modern Python that are maintainable and safely refactorable
• Hands‑on experience managing large, evolving timeseries data
• A working knowledge of type safety and type systems
• Strong verbal and written communication skills
• Strong internal motivation and a continual desire to learn

Bonus Points

• Contributions to open‑source crypto projects
• Production experience running full or archive blockchain nodes at scale
• Collaborated with quantitative researchers
• A working knowledge of high‑level machine learning concepts and lifecycle
• Experience with functional programming and immutable design principles
• Practical knowledge of major blockchain types and clients

Compensation & Benefits

The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, the company offers a comprehensive suite of benefits including group medical, pharmacy, dental, and vision insurance, 401(k) with discretionary employer match, short and long‑term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.