8 дней назад
Senior AI Scientist (Fintech Risk AI)
180 000 - 243 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Scientist (Fintech Risk AI) (Python/R/Scala, Spark): Developing predictive models and statistical analyses to detect and prevent fraud and financial risk across money movement events, with an accent on big-data exploration, machine learning, and generative AI. Focus on cleansing and modeling petabyte-scale relational, NoSQL, and graph data, creating ML features with Spark, and communicating data-driven insights to business stakeholders.
Location: Mountain View, California, United States
Base pay: $180,000–$243,500 annually, plus potential bonus, equity, and benefits.
Company
is a financial technology platform offering products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Develop and lead iterative research strategies for complex financial risk and fraud problems.
- Explore, structure, cleanse, sample, test, and validate large-scale data from relational and NoSQL sources.
- Build predictive statistical models and machine learning algorithms using complex and divergent data.
- Generate visualizations and communicate data-driven insights to business stakeholders.
- Collaborate with data engineers, database managers, business analysts, and business leaders.
- Guide stakeholders in interpreting and applying research findings to business decisions.
Requirements
- Advanced degree in Statistics, Applied Mathematics, Computer Science, or a related field.
- 6+ years of experience developing predictive models and performing statistical analysis in financial services or risk management.
- Strong programming skills in Python, R, or Scala, plus experience with data manipulation and visualization tools.
- Expertise in statistical modeling, supervised and unsupervised machine learning, and generative AI techniques including autoencoders, GANs, and VAEs.
- Experience with ETL, data warehousing, cloud computing, graph data, insight extraction, and Spark for data manipulation and ML feature creation.
- Excellent communication, analytical, and problem-solving skills, including presenting complex insights to non-technical stakeholders.
Culture & Benefits
- Competitive compensation with performance-based rewards.
- Potential eligibility for cash bonus, equity rewards, and employee benefits.
- Regular pay comparisons across ethnicity and gender categories to support fair pay practices.
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