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Senior Data Scientist (Fintech)

168 300 - 297 000$
Формат работы
remote (только USA)
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 Data Scientist (Fintech): Building control performance monitoring systems for financial products with an accent on risk metrics, statistical analysis, and automated monitoring workflows. Focus on defining risk guardrails, detecting meaningful changes, managing data quality limitations, and translating analytical findings into product governance decisions.

Location: Remote, Bay Area, California, United States

Salary: $168,300–$297,000 USD annually, depending on location zone.

Company

hirify.global builds technology and financial products that increase access to the global economy through Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.

What you will do

  • Define control performance metrics and key risk indicators connecting control objectives, risk exposure, and customer outcomes.
  • Investigate control coverage, enforcement, exceptions, outcomes, instrumentation, and evidence quality using source data and system behavior.
  • Build scalable monitoring metrics, reusable analytical modules, and automated workflows for controls and products.
  • Apply statistical judgment to define populations, cohorts, baselines, thresholds, and anomaly detection approaches while managing false positives.
  • Develop product governance solutions including pre-launch risk measurement plans, rollout guardrails, and post-launch monitoring.
  • Partner with risk, compliance, product, engineering, and internal users to lead ambiguous initiatives and communicate findings to technical and nontechnical audiences.

Requirements

  • Bachelor’s degree in a quantitative field with 7+ years of relevant experience, master’s degree with 5+ years, or PhD with 3+ years.
  • Advanced proficiency in Python and SQL, including large datasets, maintainable analytical code, reusable modules, and automated data workflows.
  • Strong statistical and analytical judgment involving cohort analysis, experimentation, time series, monitoring, bias, incomplete data, and misleading metrics.
  • Experience translating business, policy, or control objectives into measurement frameworks and leading analytical solutions into production adoption.
  • Experience with financial technology, risk, compliance, or product governance, plus strong product judgment and stakeholder communication.
  • Experience using AI tools, LLMs, visualization packages, version control, and data warehousing platforms such as Snowflake or BigQuery.

Culture & Benefits

  • Remote work with flexible time off and medical insurance.
  • Retirement savings plans and modern family planning benefits.
  • Inclusive workplace and interview accommodations for applicants with disabilities.
  • AI tools may be used to evaluate applications in accordance with applicable regulations.

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