Назад
3 дня назад

Senior Optimization Data Analyst (Fintech)

154 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Страна
US
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Описание вакансии

TL;DR
Senior Optimization Data Analyst (Fintech): Leading complex merchant engagements and building scalable analytical tools for risk, fraud, and machine learning optimization with an accent on large-scale transactional data, experiment design, and statistical analysis. Focus on designing A/B tests, developing reusable data frameworks, translating findings into merchant recommendations, and mentoring analysts.

Senior Optimization Data Analyst

Company

Adyen

Conditions

6 days ago Salary: 154K - 200K

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead complex merchant engagements involving risk fraud and machine learning optimization. You will analyze large-scale transactional and risk-model data, design experiments, identify performance gaps, build scalable analytical tools, and translate findings into practical recommendations. You will also develop reusable frameworks, document domain knowledge, collaborate with product stakeholders, and mentor other analysts.

Requirements

  • 10+ years of experience in data analytics data science risk or fraud optimization
  • Payments or fintech industry experience
  • Deep expertise in risk and fraud analytics
  • Hands-on experience with machine learning decisioning systems and large-scale risk data
  • Expert proficiency in Python SQL and PySpark
  • Experience with scalable ETL pipelines and production-grade analytical systems
  • Experience with Looker or Tableau
  • Knowledge of hypothesis testing experiment design and regression modeling
  • Experience with Spark Airflow and Git
  • Ability to lead cross-functional initiatives independently

Responsibilities

  • Lead complex merchant engagements in risk fraud and machine learning optimization
  • Analyze large-scale risk model output and labeled risk data
  • Design advanced analyses A/B tests and statistical investigations
  • Build scalable data products tools and analytical workflows
  • Develop playbooks frameworks and best practices
  • Translate analytical findings into merchant recommendations and product feedback
  • Mentor analysts and provide technical guidance

Benefits

  • Equity through RSUs
  • 401(k)
  • Health insurance
  • Dental insurance
  • Vision insurance

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