2 дня назад
Data Scientist (Fintech)
100 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Fintech): Building predictive credit and fraud risk models, policy simulators, pricing solutions, and customer analytics for a buy now pay later product with an accent on statistical modeling, machine learning, and large-scale data analysis. Focus on validating model performance, optimizing risk decisioning, and collaborating with risk, marketing, product, and engineering teams.
Location: San Francisco, California; hybrid office attendance required on Wednesdays and Thursdays
Salary: USD $100,000–$120,000 annually, plus equity and benefits
Company
develops financial products, including the Flex Pay buy now pay later service.
What you will do
- Build and maintain credit and fraud policy simulators to validate system behavior and improve risk decisioning.
- Develop and deploy statistical models and machine learning algorithms for credit risk, fraud detection, pricing, customer segmentation, and marketing attribution.
- Validate models and identify factors that affect their performance.
- Analyze structured and unstructured datasets using SQL, Python, and related tools.
- Research data science and fintech technologies and collaborate with risk, marketing, product, and engineering teams on data-driven strategies.
Requirements
- Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline.
- At least 2 years of hands-on experience in data science or analytics, preferably in financial services.
- Strong proficiency in Python, including Pandas, NumPy, and scikit-learn, and in SQL.
- Experience or strong interest in machine learning techniques such as Random Forest and Gradient Boosted Trees.
- Ability to document work and present analysis to technical and business audiences.
- Ability to work from the San Francisco office on Wednesdays and Thursdays in a hybrid arrangement.
Nice to have
- Experience with Tableau or Power BI.
- Experience with AI tools such as Claude.
- Experience with PySpark or similar data technologies.
- Understanding of credit scoring, portfolio risk, or customer lifetime value.
Culture & Benefits
- Stock option plan and competitive compensation.
- Medical, dental, and vision insurance coverage.
- 401(k) and RRSP programs.
- Flexible paid time off and paid parental leave.
- Professional growth opportunities and health and wellness initiatives.
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