What are the responsibilities and job description for the Quantitative Finance Internship position at Blue Ventis?
Employment: Part Time
Start Date: ASAP
Department: Research and Finance
About the program:
We are partnering with a leading AI research lab to train frontier models on rigorous quantitative reasoning. We're hiring Quantitative Finance Experts to evaluate and compare model outputs on challenging finance problems, helping shape how the next generation of AI reasons about markets, derivatives, and risk.
Your experience in quantitative modeling, derivatives pricing, and statistical analysis will ensure each evaluation is accurate, precise, and grounded in real-world financial reasoning.
Responsibilities:
● Compare two AI-generated responses to the same prompt and decide which one is better
● Work from the provided input files and read each model's reasoning / thought process to inform your judgment
● Clearly explain why one output outperforms the other, citing methodological soundness, correctness, and quality of quantitative reasoning
● Provide written feedback the research team uses to improve model behavior
● Participate in onboarding and specialty calibration sessions
Qualification:
● Have 2 years of professional experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research)
● Hold an advanced degree (MS/PhD) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Economics - or equivalent industry experience
● Are comfortable programming in Python (NumPy/pandas) for modeling and analysis
● Demonstrate excellent written communication with high attention to detail
Role Highlights
● Flexible workload: 10–20 hours per week
● Role starts immediately; applications reviewed on a rolling basis
Compensation:
The compensation for this position is Up to $150/hr.
About us:
We are an HR consultancy firm and we help candidates find internships, part-time opportunities,
and full-time jobs. If you meet the eligibility criteria, please apply and our recruitment team willhelp you understand your strengths and strategize your career ahead.
We can let you know better once you submit your resume.
Start Date: ASAP
Department: Research and Finance
About the program:
We are partnering with a leading AI research lab to train frontier models on rigorous quantitative reasoning. We're hiring Quantitative Finance Experts to evaluate and compare model outputs on challenging finance problems, helping shape how the next generation of AI reasons about markets, derivatives, and risk.
Your experience in quantitative modeling, derivatives pricing, and statistical analysis will ensure each evaluation is accurate, precise, and grounded in real-world financial reasoning.
Responsibilities:
● Compare two AI-generated responses to the same prompt and decide which one is better
● Work from the provided input files and read each model's reasoning / thought process to inform your judgment
● Clearly explain why one output outperforms the other, citing methodological soundness, correctness, and quality of quantitative reasoning
● Provide written feedback the research team uses to improve model behavior
● Participate in onboarding and specialty calibration sessions
Qualification:
● Have 2 years of professional experience in quantitative finance (hedge fund, quant trading, derivatives, risk, or equity research)
● Hold an advanced degree (MS/PhD) in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Economics - or equivalent industry experience
● Are comfortable programming in Python (NumPy/pandas) for modeling and analysis
● Demonstrate excellent written communication with high attention to detail
Role Highlights
● Flexible workload: 10–20 hours per week
● Role starts immediately; applications reviewed on a rolling basis
Compensation:
The compensation for this position is Up to $150/hr.
About us:
We are an HR consultancy firm and we help candidates find internships, part-time opportunities,
and full-time jobs. If you meet the eligibility criteria, please apply and our recruitment team willhelp you understand your strengths and strategize your career ahead.
We can let you know better once you submit your resume.