Development:
Develop internal applications and libraries using a variety of technologies and programming languages (primarily MATLAB, as well as Python, C/C++, SQL Server, Oracle, etc.) following a defined development process.
Responsible for requirement gathering, implementation, documentation, and testing for both new systems and enhancements to existing code.
Apply domain and technical knowledge to improve efficiency and productivity.
Portfolio Oversight:
Become familiar with technical aspects of production models and the process of deploying changes into production.
Develop and improve monitoring, data visualization, and analytics capabilities using modern technologies.
Maintenance and Support:
Interface and work with users to analyze current procedures and suggest process improvements.
Monitor, support, and troubleshoot our live system of models and risk management system.
Continued Learning:
Keep up to date with industry trends and current technology and share knowledge with colleagues.
Qualifications:
Required Qualifications:
Bachelor's degree in Computer Science or related field or similar industry experience.
Expertise in at least one common programming language (e.g., Python, Java, C/C++, .NET, MATLAB).
Knowledge of relational database design and implementation.
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 communication skills.
Self-motivated and possessing a solid work ethic.
Ability to work in a dynamic, fast-paced environment.
Strong attention to detail.
Compensation:
$80,000 - $100,000 + Annual bonus
Benefits:
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 $4.8 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, 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, 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!
Preferred Qualifications:
Master's degree in Computer Science or another technical field of study.
Experience with quantitative investing.
Experience with modern software development tools (revision control, testing frameworks, build scripts/tools, issue/bug/defect tracking, collaborative tools).
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