Senior Data Scientist, ALT
Pricing & Underwriting
$200k
Management platform for alternative assets
Be an early applicant
Management platform for alternative assets
101-200 employees
Be an early applicant
$200k
101-200 employees
Company mission
To unlock the value of alternative assets.
Role
Who you are
- 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
- Are deeply curious about how value is assigned to unique, non-traditional, and conventionally “illiquid” asset classes
- Are a hands-on individual contributor who thrives in a zero-to-one startup environment
- Are a product-minded builder who wants to see their work deployed in a user-facing production application
What the job involves
- 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
Our take
Increased interest in alternative assets has resulted in an unexpected boom in the collectables market, as more people are seeking to diversify their portfolios. Alt is a trading and portfolio management platform capitalizing on this exciting new upswing, making it simple to buy and sell investment-grade trading cards.
Initially dealing exclusively with sports cards, the company’s platform has expanded to include other trading card types, ranging from Pokémon to Yu-Gi-Oh! Alt sets itself apart from the competition by offering its users a vast range of attractive options, such as no buyer premiums, cash advances, Alt Vault card storage and borrowing options.
By tackling the three key problems hobbling the uptake of alternative asset investments (liquidity, price transparency, and physical storage) Alt’s success certainly opens the door for further expansion into different assets like art and sneakers, ushering in a new model for alternative asset markets.
Steph
Company Specialist at Welcome to the Jungle
Insights
108% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2021
$75m
SERIES B
Mar 2021
$31m
SERIES A
Total funding: $106m
Company benefits
- Medical, Dental & Vision
- Monthly WFH, health and wellness stipend
- Generous parental and family leave
- Volunteer opportunities
- Learning and development programs
- Unlimited PTO
- WeWork access
Company HQ
SoMa, San Francisco, CA
Leadership
Leore Avidar
(CEO )Also co-founded Lob, a platform that makes direct mail for businesses faster and easier. Was an Asset Management Derivates Trader for Citigroup Global Markets, and part of the Technical Business Development, Startups and Venture Capital services for AWS.
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