Senior Data Scientist (Finance)

Location: New York, New York, United States; telecommuting and/or working from home may be permissible under company policies.

Salary: $250,000.00/year

Company

hirify.global is a financial company focused on analytical research and trading activities.

What you will do

• Collaborate with clients to assess analytical needs within trading activities.
• Cross-reference market and alternative data and aggregate fungible assets.
• Research, back-test, and validate trading strategies and alternative dataset signals.
• Design and maintain production-grade alternative data pipelines in Python and SQL, including outlier detection, panel construction, imputation, and KPI outputs.
• Apply cohort analysis and causal inference to estimate customer acquisition costs and price elasticities in competitive consumer markets.
• Perform DCF valuation modeling with multi-scenario analysis and support fundamental long/short equity research.

Requirements

• Master’s degree in Finance, Financial Mathematics, or a related quantitative field, or equivalent.
• At least three years of experience applying time-series and statistical techniques to forecast company KPIs and extract latent business performance signals from alternative datasets.
• Experience with Kalman filtering, rolling regression, and Bayesian hierarchical modeling.
• Experience integrating fundamental equity analysis with alternative data signals using quantamental research methods.
• Production-grade data pipeline development using Python and SQL, including outlier detection, panel construction, machine-learning-based data imputation, multimodal distributions, and KPI outputs.
• Experience with cohort analysis, causal inference, hypothesis testing, signal decay analysis, and regression-based validation frameworks.
• Experience with DCF valuation modeling and multi-scenario analysis.

Culture & Benefits

• Full-time position.
• Telecommuting and/or working from home may be permissible pursuant to company policies.