Hybrid Quantitative Research Engineer: Finance Tech Impact

Campbell & Company, LP.; Baltimore, Northern (MD, KY); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Hybrid work environment

Tuition reimbursement up to $50,000

Annual vacation allowance $2,000

Health Savings Account

401(k) matching

Free on-site massages

Job summary

Campbell & Company seeks a Quantitative Research Engineer in Baltimore, MD to design, develop, and maintain proprietary research models for investment strategies and risk systems.

The role emphasizes implementing, testing, and expanding models, with data visualization and analytics capabilities, and collaboration across Market Data, Operations, and Trading. Strong math and programming skills are essential.

Qualifications

• Bachelor’s degree in Computer Science or quantitative/science field (Physics, Math, Engineering, Computational Biology, etc.).
• Expertise in at least one programming language (e.g., Python, Java, C/C++, .NET, MATLAB).
• Knowledge of relational database concepts.
• Innate curiosity with a passion for applying technology to solve problems.
• Strong mathematical and analytical skills.
• Interest in financial markets and/or quantitative investing.
• Excellent interpersonal skills and ability to succeed in a team-based collaborative environment.
• Effective verbal and written communications skills.
• Ability to interact with users of varying levels of expertise and communicate technical information to non-technical users.
• Self-motivated and possessing a solid work ethic.
• Ability to work in a dynamic, fast-paced environment.
• Strong attention to detail.

Responsibilities

• Prototype during exploratory phase and move models into production.
• Implement, test, and document model changes.
• Develop monitoring, visualization, and analytics capabilities.
• Improve and maintain library of software functions.
• Participate in code and design reviews.
• Improve system design and efficiency with current trends.
• Contribute to simulation and back-testing platforms.
• Monitor and troubleshoot live models with production teams.
• Collaborate with users to analyze procedures and identify improvements.
• Provide data requests and answer performance questions.
• Stay updated with industry trends and share knowledge.
• Advance knowledge of models and finance industry through research.

Skills

Python

Java

C/C++

.NET

MATLAB

Analytical skills

Mathematics

Interpersonal skills

Communication skills

Self-motivation

Team collaboration

Curiosity

Education

Bachelor’s degree in Computer Science or quantitative field

Master’s or PhD in CS or technical field (preferred)

Tools

Revision control

Testing frameworks

Build scripts/tools

Issue tracking

Open-source projects

Collaborative tools

Job description

Campbell & Company seeks a Quantitative Research Engineer in Baltimore, MD to design, develop, and maintain proprietary research models for investment strategies and risk systems.

The role emphasizes implementing, testing, and expanding models, with data visualization and analytics capabilities, and collaboration across Market Data, Operations, and Trading. Strong math and programming skills are essential.