Назад
Company hidden
6 часов назад

Fraud Data Analyst (Fintech)

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Fraud Data Analyst (Fintech): Identifying, investigating, and preventing fraudulent transactions and activities, utilizing analytical skills and experience with SQL to query and analyze data. Focus on uncovering fraudulent activities, developing fraud prevention rules, and staying updated with emerging fraud threats.

Location: Remote (Latin America)

Company

hirify.global is revolutionizing the shopping experience beyond payments with cutting-edge tech and seamless, interest-free installment plans.

What you will do

  • Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
  • Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns.
  • Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings.
  • Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior.
  • Develop and implement fraud prevention rules, strategies, and controls.
  • Stay up-to-date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention.

Requirements

  • Bachelor's degree in a relevant field (e.g., Economics, Computer Science, Analytics, or a related field).
  • Minimum of 2 years of experience in a fraud detection, prevention, or investigation role.
  • Minimum of 2 years of experience working with SQL and Python.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud).
  • English resume required.

Nice to have

  • Experience with fraud detection tools and platforms.
  • Work experience in fintech, payments, lending, banking, or financial institutions.
  • Degree in statistics, math, finance, economics, or related quantitative discipline.

Culture & Benefits

  • Thrive in a dynamic, fast-paced environment with abundant prospects for career advancement.
  • Surround yourselves with the best and brightest individuals, who are unique and purpose-driven.
  • Maintain relentlessly high standards, continually raising the bar and driving great results.
  • Develop new ways to do things and are not bound by convention.
  • Embrace action and calculated risk-taking.
  • Earn trust by listening attentively, speaking candidly, and treating others respectfully.
  • Possess backbone to respectfully challenge decisions and commit wholly once determined.
  • Focus on key inputs and deliver results with the right quality and in a timely fashion.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →

Текст вакансии взят без изменений

Источник - загрузка...