Please submit a transcript with your application for all degrees.The Research Engineer (RE) contributes to the creation and implementation of research ideas and solutions through the design, development, and maintenance of the firm's proprietary research models and libraries. This includes the ability to understand and properly implement, test, refine, and expand upon mathematical models in the development of our investment strategies and risk and portfolio management system. As a member of the Research department, the RE is involved in idea generation and scientific research, with a strong focus on the technical and data aspects. The RE may also work in a cross-department capacity with colleagues from Market Data, Operations, Trading, and others.
Principal Responsibilities:Development - Work with Researchers, Operations, Trading, and/or Market Data departments throughout the development cycle - from prototyping during the initial exploratory phase of a project to incorporating new models and innovations into the production system.
- Implement, test, and document new models or changes to existing systems.
- Develop and improve monitoring, data visualization, and analytics capabilities using modern technologies.
- Improve and maintain our existing library of software functions.
- Participate in code and design reviews of Research software.
System Design - Improve the design and efficiency of our systems with advanced, up-to-date industry trends and technology.
- Be an active participant in the development of our simulation and back-testing platforms.
Maintenance and Support- Monitor, support, and troubleshoot our live system of models, in collaboration with production teams.
- Work with users to analyze current procedures and suggest process improvements.
- Provide multi-faceted information to other departments, including bespoke data requests and answering basic due diligence and performance questions.
Continued Learning - Keep up to date with industry trends and current technology and share knowledge with colleagues.
- Contribute to the scientific research process by learning and advancing knowledge of our models and the finance industry.
Required Qualifications- Bachelor's degree in Computer Science or quantitative/science field (Physics, Math, Engineering, Computational Biology etc.).
- Expertise in at least one common 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.
Preferred Qualifications- Master's degree or PhD in Computer Science or other technical field of study or 1 year of engineering experience in a corporate setting.
- Experience with modern software development tools (revision control, testing framework, build scripts/tools, issue/bug/defect tracking, collaborative tools, etc.).
- Experience working with large data sets.
- Experience with open-source projects.
- Experience with finance and/or quantitative investing.
At Campbell, our mission is to provide our investors with world-class investment performance. We accomplish this through a quantitative multi-strategy framework guided by a culture of continuous innovation. We trade over 100 derivative markets and 5000+ cash equities across the globe, based on over 100 systematic strategies with trades ranging from hours to months. We manage over $6 billion, with clients ranging from large public pensions to individual investors.
We enjoy working together to solve hard problems with real-world applications. Our collaborative culture allows us to obtain better results as a team without losing sight of the need to reward individual contributions. Two-thirds of staff are investment professionals, with 40% having been at Campbell for ten years or more. We believe the long tenure of our staff is a testament to our culture and the work-life balance we offer to all of our associates.
Our new, renovated offices are located at the Quarry Lake in Greenspring in upscale Baltimore County with walking access to premier shopping and dining options, high-end salons, fitness facilities, and medical offices. Many beautiful neighborhoods can be found within a few minutes' drive from Campbell. For those who prefer downtown living, the Inner Harbor, Fells Point, and Federal Hill are less than 15 miles away.
We recognize that producing the best work and maintaining the best talent includes putting an overall premium on the overall wellness and financial well-being of our employees. We offer a hybrid work environment for all associates, very competitive pay and benefits, parental leave, 80% tuition reimbursement up to $50,000, an annual $2,000 vacation allowance, employer-funded Health Savings Account, a $10,000 family forming HRA benefit, group health, dental and vision benefits, a $1000 fitness allowance, free onsite massages, and a 401(k) matching 100% up to 9% of your salary, plus an additional annual employer discretionary contribution, up to 7.25%.
Regular social gatherings, biweekly catered staff lunches, arcade and video games, ping pong tournaments, and diversity and inclusion events are just a few of our engagement activities to ensure working at Campbell isn't just challenging and rewarding, but also fun!
We offer a competitive base salary range for this role of $100,000 to $130,000 per annum, contingent on experience and qualifications, with the minimum suitable for candidates under two years of experience and the maximum reserved for those possessing an advanced degree and relevant work experience. Position is also eligible for an annual discretionary bonus.
