alt - Staff Quantitative Researcher, Pricing

• A track record of building pricing or forecasting models in production, and familiarity with tree-based models and newer approaches such as large language models, time-series foundation models, and graph neural networks. • Depth in non-traditional or illiquid assets, such as collectibles, art, real estate, or alternative credit. We're reading the work, not the years. • Experience combining multiple models or signals, through portfolio construction, forecast combination, or ensemble methods. • Market prediction with alternative data, including unstructured sources such as text and sentiment. • Statistical rigor: experimental design, backtesting, and noisy or sparse data. • Expert SQL and Python. • Hands-on work building with AI, such as agents or internal tools that others rely on. • Clear communication, with a record of explaining complex work to non-technical audiences. • Backgrounds that fit: quantitative research or portfolio construction at an investment firm; statistical or cross-market arbitrage; sports betting or prediction market pricing; credit or insurance underwriting; marketplace pricing or trust and safety. • HOW WE'LL INTERVIEW YOU • Before your first conversation, download the Alt app, place a bid, and list a card. Every round assumes you have. • 2. Hiring manager, 45 minutes. Your past work and approach to pricing problems. • 3. Take-home case study, not timed. A pricing exercise you complete on your own schedule. • 4. Case study presentation, 60 minutes. If your case study moves forward, you present it to the team, followed by a group interview. • 5. Culture interview, 30 minutes. How you work, and why Alt. • 6. Executive review, 30 minutes. A closing conversation. • 7. Reference check, 15 minutes, with a former manager.