Quantitative Analyst (Quant Analyst) | Remote

Quantitative Finance Evaluator Drive the rigor behind next-generation quantitative reasoning. In this role, you will assess and compare model-generated outputs on advanced finance problems derivatives pricing, risk frameworks, and market modeling providing the structured feedback that shapes how automated reasoning systems perform in quantitative domains. $150/hr | 10 20 hrs/week | Remote Key Responsibilities Evaluate paired model outputs on quantitative finance prompts, determining which demonstrates superior methodological soundness, numerical accuracy, and logical rigor Articulate clear, evidence-based rationales for output preference, referencing correctness of financial reasoning, model assumptions, and quantitative technique Identify errors in derivatives pricing logic, statistical methodology, or risk modeling across evaluated responses Deliver structured written feedback consumed directly by research teams to calibrate and improve model behavior Participate in onboarding and specialty calibration sessions to align evaluation standards across the reviewer cohort Core Requirements Professional background in quantitative finance hedge fund, quant trading, derivatives, or risk with hands-on experience in quantitative modeling and financial analysis Advanced degree (MS or PhD) in Financial Engineering, Mathematics, Statistics, Physics, or Economics, or equivalent industry-demonstrated expertise Working proficiency in Python (NumPy, pandas) for modeling, data manipulation, and analytical verification Deep familiarity with derivatives pricing frameworks, statistical inference, and risk quantification methodologies Exceptional written communication with the precision required to articulate technical judgment clearly and concisely Additional Strengths Exposure to equity research or systematic trading strategies, providing breadth across quantitative finance sub-domains Experience reviewing or critiquing quantitative research, whether in an academic, publishing, or institutional context Application Process Submit your completed application form. Applications will be carefully reviewed in line with the role requirements. Eligible applicants will be contacted via email with instructions for the next stage. Follow the instructions in the email to complete the remaining application requirements.

Evaluate model outputs on quantitative finance prompts and provide structured feedback. Identify errors in derivatives pricing logic and deliver written feedback to research teams.

Candidates should have a professional background in quantitative finance and an advanced degree in a related field. Proficiency in Python and familiarity with derivatives pricing frameworks are also required.

Identified from the job description. Confirm important requirements above.

• Quantitative Finance
• Modeling
• Financial Analysis
• Python
• NumPy
• Pandas
• Derivatives Pricing
• Statistical Inference
• Risk Quantification
• Written Communication
• Financial Reasoning
• Quantitative Techniques
• Statistical Methodology
• Risk Frameworks
• Market Modeling
• Data Manipulation

Minimum education

Other education

Minimum experience

5+ years