Quantitative Finance Intern – Game Analytics & Forecasting

etc. interactive

New York, Northern (NY, KY)

Hybrid

USD 28,000 - 55,000

Full time

21 hours ago
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Job summary

etc. interactive in New York City is seeking a Financial Analyst Intern to build quantitative models for launch decisions. You will transform messy data into forecasts, assess server costs, and model demand under uncertainty, collaborating with finance, data science, and engineering.

The role emphasizes probabilistic forecasting, LTV analysis, and capital allocation, with guidance toward a structured internship or academic credit arrangement.

Qualifications

  • Graduate student in a quantitative field.
  • Strong Python and pandas experience.
  • Experience with forecasting and Monte Carlo methods.
  • Ability to explain quantitative results to non-technical stakeholders.
  • Comfort turning messy data into models.

Responsibilities

  • Build a dynamic cloud cost model linking concurrency, geography, and bandwidth to infrastructure expense.
  • Develop probabilistic launch-demand forecasts for capacity planning.
  • Model lifetime value and retention by cohort and platform.
  • Compute contribution margins after platform fees and costs.
  • Apply statistical and ML methods to game telemetry to predict churn and segment players.
  • Interest in games is welcome but not required; focus on analytical rigor.

Skills

Python
Pandas
Statistics
Forecasting
Monte Carlo methods
Model calibration
Communication of results

Education

Graduate program in financial engineering / quantitative finance / statistics

Tools

scikit-learn
statsmodels

Job description

etc. interactive in New York City is seeking a Financial Analyst Intern to build quantitative models for launch decisions. You will transform messy data into forecasts, assess server costs, and model demand under uncertainty, collaborating with finance, data science, and engineering.

The role emphasizes probabilistic forecasting, LTV analysis, and capital allocation, with guidance toward a structured internship or academic credit arrangement.

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