14 часов назад
SMB Analytics & Data Science Lead (AI/Fintech)
230 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SMB Analytics & Data Science Lead (AI/Fintech): Building analytical and data products, predictive models, and decisioning tools for small-business credit, fraud, and financial-risk decisions with an accent on cash-flow analytics, production machine learning, and LLM-powered solutions. Focus on developing scalable models, mining complex financial datasets, and leading the end-to-end lifecycle from feature engineering through deployment and monitoring.
Location: New York, United States
Salary: $230,000–$270,000 annually plus equity and benefits.
Company
provides AI-powered workflow, document data capture, fraud detection, cash-flow analytics, and decisioning products for lenders.
What you will do
- Analyze large datasets covering business cash flow, financial health, credit, repayment performance, and marketplace dynamics.
- Partner with Product, Engineering, senior management, clients, and prospects to develop and commercialize analytical and data products.
- Lead research and development of data science and decisioning products while mentoring colleagues on business and technical topics.
- Build scalable predictive models for credit risk, fraud detection, transaction classification, entity resolution, and small-business financial health.
- Translate ambiguous business challenges into well-defined data science problems and balance model complexity with interpretability and delivery timelines.
- Own the model lifecycle from data exploration and feature engineering through deployment, monitoring, and continuous improvement.
Requirements
- 7+ years of professional experience in risk management, analytics, or data science, including production decision strategies and predictive models.
- Significant knowledge of small-business credit, including underwriting, pricing, and portfolio management.
- Hands-on experience using LLMs and advanced AI tools to create products and solutions.
- Strong statistics, probability, machine learning, software engineering, and data engineering fundamentals.
- Excellent Python and SQL skills, with experience using pandas, scikit-learn, Hugging Face, Snowflake, or Postgres.
- Bachelor’s or Master’s degree in a quantitative discipline and strong communication skills for technical and client-facing audiences.
Nice to have
- Experience with messy financial data such as bank transaction streams, financial statements, or credit reports.
- A portfolio of data science or analytics accomplishments, including source code.
Culture & Benefits
- Remote-first company environment with opportunities to grow skills and take ownership.
- Culture centered on empathy, curiosity, humility, and ownership.
- Inclusive workplace that values diverse perspectives.
- Equity and employee benefits included with the full-time role.
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