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4 дня назад

Data Analyst (Forensics)

90 000 - 150 000$
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

Data Analyst (Forensics): Conducting complex forensic investigations and fraud detection analysis for global clients with an accent on data science, SQL/Python programming, and anti-fraud strategy development. Focus on managing engagement teams, performing large-scale data analysis, and communicating complex findings to stakeholders in a fast-paced consulting environment.

Location: Must be based in New York, NY

Salary: $90,000 – $150,000 per year

Company

hirify.global is a leading global consulting firm specializing in forensic accounting, investigations, and dispute resolution, recognized for its interdisciplinary approach and academic expertise.

What you will do

  • Leverage SQL, Python, or R to perform advanced data analysis and machine learning for fraud detection.
  • Develop and prioritize anti-fraud strategies, models, and operations for clients in banking, healthcare, and e-commerce.
  • Manage engagement teams and coordinate competing priorities in a fast-paced, cross-functional environment.
  • Communicate complex analytical findings to business, risk, and compliance stakeholders.
  • Prepare high-quality presentation materials and documentation for client engagements.
  • Maintain project economics and provide mentorship to junior staff members.

Requirements

  • Bachelor's degree in MIS, Engineering, Finance, Data Science, or related quantitative field.
  • Minimum of 3 years of professional experience in regulatory or internal investigations and compliance.
  • Proficiency in SQL, Python, or R and experience with data visualization tools like Tableau.
  • Knowledge of anti-fraud business domains including e-commerce, payments, or banking.
  • Ability to manage engagement teams and communicate effectively with client management.
  • Must be authorized to work in the United States.

Nice to have

  • Certifications such as CFE, CPA, or technical certifications in Azure, Python, or DevOps.
  • Experience with big data tools like Hadoop or PySpark.
  • Experience with fraud detection platforms like Actimize or FICO Falcon.

Culture & Benefits

  • Work within a globally recognized top economics consultancy.
  • Collaborate with industry specialists, academics, and leading data scientists.
  • Engage in a culture centered on agility, connectivity, and interdisciplinary problem-solving.
  • Opportunities for professional growth in a rapidly expanding practice.

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