Quantitative Researcher - Full-Time Campus Hire

Quant Blueprint LLC; Radnor (Delaware County); Hybrid; USD 30,000 - 50,000; Full time

Job summary

Quant Blueprint LLC is seeking exceptionally motivated students for research internships aimed at analyzing anomalies in the global financial markets. The roles are aligned for undergraduate, masters, and PhD students, with responsibilities including reading academic research and conducting statistical analysis.

Applicants should have substantial progress toward a graduate degree in a quantitative discipline, alongside programming experience in R, C++, or Python. Strong organizational and communication skills are essential for success in this inclusive and collaborative environment.

Qualifications

• Strong interest in the financial markets and empirical research.
• Substantial progress toward a quantitative or finance degree.
• Programming experience in R, C++, and/or Python.

Responsibilities

• Read and analyze academic research regarding financial market anomalies.
• Build data sets and conduct statistical analysis.

Skills

Statistical analysis

Programming (R, C++, Python)

Regression analysis

Data organization and analysis

Organizational skills

Communication skills

Education

Progress toward a graduate degree in a quantitative discipline

Tools

Statistical software (R, Python)

Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open‑ended and will depend on a candidate's background and strengths.

Opportunities, including full‑time summer internships and part‑time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.

Primary Responsibilities

• Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
• Build data sets and conduct statistical analysis on the data.

Requirements

• Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
• Programming experience, ideally including R, C++ and/or Python.
• Experience with regression analysis.
• Strong interest in learning how to build, organize and analyze large data sets.
• Strong organizational and communication skills.