Quantitative Analyst - Arc24 : Job Details

Position Overview:

We are seeking a highly skilled Quantitative Analyst with strong programming capabilities, statistical expertise, and a solid understanding of database management. The ideal candidate will be adept at working with large datasets, building and back-testing statistical models, and applying advanced analytical techniques to drive data-driven decision-making. Prior experience in the financial services industry is strongly preferred.

Arc24 is a New York-based, Credit focused investment manager seeking a highly motivated candidate to join our team from the ground up. We provide a unique opportunity to be part of an emerging asset management firm whose founders have an established track record of success. By joining from the ground up, you will have the chance to significantly influence the direction and growth of the organization, shape best practices, and contribute to innovative investment strategies. As a key member of our expanding team, you will play an integral role in building a dynamic environment that fosters professional growth, collaboration, and long-term success.

Key Responsibilities:

• Develop and maintain quantitative models using C++ and Python to analyze large and complex datasets.
• Design and implement database management solutions to ensure efficient data retrieval, storage, and processing.
• Perform advanced statistical analysis and leverage Excel for data manipulation, analysis, and reporting.
• Build, calibrate, and rigorously back-test statistical models, ensuring accuracy, reliability, and robustness.
• Collaborate cross-functionally with internal teams, including traders, portfolio managers, and risk management personnel, to support data-driven strategies and decision-making.
• Continuously refine and optimize models and processes to align with evolving market conditions and business objectives.

Qualifications:

• Bachelor's degree in a related field (e.g., Finance, Economics, Mathematics, Statistics, Computer Science) with 3–5 years of relevant experience, or a Master's degree with prior work experience.
• Proven coding experience with C++ and Python.
• Proficiency in database management, including SQL or similar technologies.
• Advanced skills in Excel and a deep understanding of statistical methods and tools.
• Demonstrated ability to build, validate, and maintain statistical models, preferably in a financial services context.
• Strong analytical, problem-solving, and communication skills.
• Experience working with large datasets and applying analytical techniques to generate actionable insights.

Preferred Experience:

• Previous experience in the financial services industry, particularly involving complex models and large-scale data analysis.
• Familiarity with data visualization tools and libraries.

If you are a data-driven thinker with strong quantitative, technical, and problem-solving abilities, we invite you to apply and join our dynamic team.