Quantitative Research Intern at Astera Holdings

You are viewing a preview of this job. Log in or register to view more details about this job. Location: Remote (U.S. Preferred) Type: Full-Time Reports to: President About Astera Holdings Astera Holdings is building the operating system for real-world events — a unified intelligence layer that structures chaotic information, models uncertainty, and makes the future computational. This system, AsteraOS, powers our ecosystem end-to-end: Astera AI B2C: The first consumer‑grade OS for event investing. Astera Capital: Systematic trading across sports, economics, politics, and global prediction markets. Astera Analytics: Enterprise‑grade event intelligence and forecasting systems. Our culture is a Meritocracy of Minds — scientific rigor, radical intellectual honesty, high‑agency execution, and a relentless focus on truth and results. Role Overview | Quantitative Researcher This is a foundational Quant Research role within Astera’s trading and forecasting engine. As a QR, you will design, test, and deploy quantitative models that directly drive live trading and the Reflexivity Engine — our real‑time uncertainty modeling core. This is not a theoretical research job. This is production quant R&D, where models leave notebooks and enter live execution. You’ll work across modeling, time‑series forecasting, feature engineering, simulation, and signal extraction, all unified under Astera’s thesis of turning global uncertainty into a computational, tradable domain. What You’ll Do Develop and validate predictive models spanning time‑series, ML forecasting, Bayesian inference, and event‑driven signal extraction. Turn prototypes into production systems by working tightly with engineering and infra. Build factor libraries, feature pipelines, and signal engines grounded in statistical rigor. Backtest trading strategies with clean methodology, robust simulation, and risk‑adjusted performance frameworks. Collaborate directly with leadership on research direction, hypothesis formulation, and model architecture. Contribute to the Reflexivity Engine, improving its reasoning, uncertainty modeling, and structural forecasting capabilities. Drive PnL and model performance through high‑quality research and rapid iteration. What You Bring (Signals, Not Credentials) We don’t care about degrees or pedigree. We care about ability, rigor, and grit. Core Technical Strength 1. Quantitative Modeling Time‑series forecasting Probabilistic models ML regression/classification Bayesian approaches 2. Machine Learning for Signals Ensemble models Deep learning for structured/unstructured event data Evaluation, calibration, uncertainty quantification Simulation frameworks Performance attribution Live signal monitoring & stability analysis (Not required, but a strong edge) Python mastery Building reliable backtesting or research frameworks Core Attributes GRIT First‑principles thinker Obsession with truth and empirical rigor High‑agency, low‑ego Comfortable operating in ambiguity and speed Why Join Astera as a QR Your research hits production. You will see your models deployed into real strategies, not theoretical papers. Small team = massive surface area. You’ll shape research direction, architecture, and model design. True multidisciplinary exposure: quant, ML, systems, forecasting, and event‑driven modeling. Direct collaboration with founders and senior engineers. How to Apply Send your resume and any relevant links (GitHub, research, portfolio) to: View email address on click.appcast.io #J-18808-Ljbffr Wayne State University