Senior Data Scientist – Pricing & Underwriting

🕒 May 27

🇺🇸 United States – Remote

💵 $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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ALT

WebsiteLinkedInAll Job Openings

51 - 200 employees

At ALT, we’re on a mission to unlock the value of alternative assets, and looking for talented people who share our vision.

📋 Description

• As a Pricing Data Scientist, you will be the architect of the logic behind the Alt Value, Alt’s core pricing model. • You will research, design, and validate the science and models that will price millions of alternative assets in real-time. • This role is highly collaborative; you will work alongside Expert Pricers to translate human intuition into mathematical features and partner with Data and ML Engineers to bring those models to life at scale. • Research, develop, and ship sophisticated pricing models (e.g. Tree-based, Gradient-based, Deep Learning, ensemble methods) to improve valuation accuracy for high-value assets. • Identify new data signals — emanating from data such as auction results to social sentiment — and validate their predictive power through rigorous backtesting and experimentation. • Partner with the Product Engineering team to refine our Risk & Underwriting models, balancing the goal of maximizing cash advances with the need to maintain a balanced lending portfolio. • Collaborate with the Expert Pricing team and domain experts to encode market nuances into automated features and inferences, ensuring our models respect the qualitative factors collectors care about. • Define, monitor, and lift model performance metrics and communicate the "why" behind price coverage, movements, and freshness toward becoming the ultimate liquidity platform.

🎯 Requirements

• 5+ years of experience in Data Science, with a focus on feature engineering and algorithm/model-building in the pricing, financial modeling, or marketplace dynamics domains. • Expert-level proficiency in SQL, Python, and populate Python libraries (Pandas, Scikit-Learn, XGBoost/LightGBM, PyTorch/Tensforflow). • Statistical rigor and deep understanding of experimental design, backtesting methodologies, and dealing with "noisy" or sparse data environments. • Collaborative experience working in a sprint-based environment alongside Data and ML Engineers; you understand enough about model hand-offs and quality code to ensure your models are efficient and readily "production-capable". • Proficient in developing in cloud environments (AWS, GCP) and familiarity with ML Ops infrastructure (e.g. MLFlow, workflow and container orchestration, deployment and telemetry patterns). • Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Economics, Mathematics, or Computer Science is preferred.

🏖️ Benefits

• A seat at the table to help shape the future of Alt and the alternative asset space • Autonomy and ownership on projects that matter • $100/month work-from-home stipend • $200/month wellness stipend • WeWork office stipend • 401(k) retirement benefits • Flexible vacation policy • Generous paid parental leave • Competitive healthcare benefits, including HSA, for you and your dependent(s)