[Remote] Senior Data Scientist- Pricing & Underwriting
Note: The job is a remote job and is open to candidates in USA. Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. They are seeking a Pricing Data Scientist who will research, design, and validate pricing models for millions of alternative assets in real-time, collaborating with various teams to enhance their pricing model and ensure its effectiveness.
Responsibilities
• 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
Skills
• 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/Tensorflow)
• 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
Benefits
• $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)
Company Overview
• Alt is an online marketplace that enables users to buy, sell, and vault authenticated trading cards. It was founded in 2020, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://www.alt.xyz/.
Apply Now
Apply Now
Responsibilities
• 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
Skills
• 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/Tensorflow)
• 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
Benefits
• $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)
Company Overview
• Alt is an online marketplace that enables users to buy, sell, and vault authenticated trading cards. It was founded in 2020, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is https://www.alt.xyz/.
Apply Now
Apply Now