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)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data Sciencefeature engineeringalgorithm buildingpricing modelsSQLPythonPandasScikit-LearnXGBoostLightGBM

Soft Skills

collaborationcommunicationstatistical rigorexperimental designproblem-solvingadaptabilityteamworkattention to detailcritical thinkingtime management

Certifications

Master’s degreePhDquantitative field certification