Quantitative Research Intern: ML, Markets, Mentored (Housing)

Quant Blueprint LLC; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Housing provided

Mentored project work

Educational and social activities

Job summary

Quant Blueprint LLC is offering an internship programme in quantitative research based in the United States. You will research market data, cross-asset relationships and trading opportunities using statistics, machine learning and derivatives-pricing techniques, with mentored project work and furnished housing.

You will simulate, backtest and validate models, communicate methods and results clearly, and collaborate with traders and researchers while graduating between December 2027 and August

Qualifications

• Bachelor’s, master’s or PhD studies in a technical discipline, graduating between December 2027 and August 2028.
• Strong Python and its scientific stack, large-dataset analysis, statistics, probability and numerical methods; stochastic-calculus knowledge.
• NLP or high-performance computing research is helpful.
• Clearly communicating methods and results is important.

Responsibilities

• Research market data, cross-asset relationships and trading opportunities using statistics, machine learning and derivatives-pricing techniques.
• Simulate, backtest and validate models, and improve research tools alongside traders and researchers.

Skills

Python programming

Data analysis

Statistics

Probability

Numerical methods

Stochastic calculus

NLP

High-performance computing

Communication

Education

Bachelor’s/master’s/PhD studies in a technical discipline

Job description

Quant Blueprint LLC is offering an internship programme in quantitative research based in the United States. You will research market data, cross-asset relationships and trading opportunities using statistics, machine learning and derivatives-pricing techniques, with mentored project work and furnished housing.

You will simulate, backtest and validate models, communicate methods and results clearly, and collaborate with traders and researchers while graduating between December 2027 and August