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10 часов назад

Sr Associate, Fraud Analytics (Fintech)

100 000 - 130 000$
Формат работы
hybrid
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

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TL;DR
Sr Associate, Fraud Analytics (Fintech): Developing and deploying fraud rules, predictive and unsupervised models, dashboards, and real-time monitoring pipelines for credit card transactions with an accent on fraud trend detection, anomaly identification, and loss reduction. Focus on building analytical strategies from complex datasets, measuring model performance, and communicating actionable findings to technical and senior management stakeholders.

Location: Downtown Chicago office at the Merchandise Mart; hybrid schedule with in-office work on Monday, Tuesday, and Thursday

Salary: USD $100,000–$130,000 per year, plus eligibility for an annual bonus

Company

hirify.global is a digital banking and consumer finance company developing financial products and services.

What you will do

  • Develop and implement fraud rules, analytical strategies, predictive models, and hypothesis tests across credit card transaction channels.
  • Build dashboards and monitor fraud KPIs using Databricks and other visualization tools.
  • Develop unsupervised learning models, including clustering and K-means, to detect anomalies and segment complex datasets.
  • Automate data pipelines for real-time fraud alerting and performance monitoring.
  • Own processes that reduce fraud losses, measure strategy impact, and support production deployments.
  • Present analyses and model behavior clearly to technical, non-technical, and senior management stakeholders.

Requirements

  • Bachelor’s degree in technology, statistics, business analytics, or a related field, or comparable experience.
  • 5+ years of analytical experience in consumer finance, lending, or banking, preferably involving identity or transactional fraud.
  • 5+ years of experience using SQL, R, and Python for data analytics.
  • Experience with statistics and machine learning modeling techniques.
  • Strong quantitative, problem-solving, critical-thinking, and communication skills.
  • Ability to independently manage small to medium projects and translate analytical findings into implementable fraud strategies and rules.

Nice to have

  • Master’s degree or PhD.
  • Identity or transactional fraud experience.

Culture & Benefits

  • Hybrid work environment designed to balance collaboration and individual priorities.
  • Medical, dental, and vision insurance options.
  • 401(k) match and flexible time off.
  • Paid parental leave, adoption assistance, and a post-parental-leave ramp-up program.
  • Lunch allowance, office snacks, Summer Fridays, and social events.

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