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8 дней назад

Senior AI Scientist (Fintech Risk AI)

180 000 - 243 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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