Quantitative Research Intern

Quant Blueprint LLC

New York (NY)

On-site

USD 250,000 - 300,000

Full time

14 days+

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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

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.

Requirements

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.

Programme details

The programme provides mentored project work, furnished housing and educational and social activities.

Employer-published base pay
  • USD 250,000–300,000 / year (annualized; prorated for the internship)
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