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Jain Global

Global multi-strategy investment firm

Senior Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$250k /yr

About the Job

Requirements

  • A Master's degree in Finance, Financial Mathematics, or a related quantitative field, or equivalent, is required.
  • At least three years of experience applying time-series and statistical techniques, including Kalman filtering, rolling regression, and Bayesian hierarchical modeling, to forecast company KPIs and extract latent business performance signals from alternative datasets is required.
  • At least three years of experience utilizing quantamental research methods to integrate fundamental equity analysis with alternative data signals is required.
  • At least three years of experience designing and maintaining production-grade alternative data pipelines in Python and SQL, including outlier detection, panel construction, data imputation using machine learning techniques and multimodal distributions, and KPI outputs is required.
  • At least three years of experience utilizing cohort analysis techniques and causal inference methods to estimate customer acquisition costs and price elasticities in competitive consumer markets is required.
  • At least three years of experience back testing and validating alternative dataset signals using hypothesis testing, signal decay analysis, and regression-based frameworks to complement and strengthen fundamental long/short equity research is required.
  • At least three years of experience performing DCF valuation modeling, including multi-scenario valuation modeling, is required.

Responsibilities

  • Collaborate with clients to assess specific analytical needs within trading activities, including cross-referencing market and alternative data, aggregating fungible assets, and researching and back-testing strategies.

About the Company

Jain Global

Global multi-strategy investment firm

Jain Global is a global multi-strategy investment firm with seven active strategies: fundamental equities, rates and macro, equity arbitrage, credit, commodities, systematic trading, and Asia-Pacific, operating from offices around the world. Its approach uses a centralized technology platform and disciplined risk controls to run each strategy as a core business unit. The firm differentiates itself through its scale, integrated structure, and tech-enabled collaboration across global teams. Its goal is to deliver steady, diversified capital growth for investors by combining multiple investment approaches under one umbrella with rigorous risk management.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2024

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