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5 дней назад

Data Scientist (Risk Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (Risk Analytics): Innovating and optimizing risk-based decision-making to minimize fraud losses and maximize regulatory compliance. Focus on applying advanced analytics and championing the best use of AI in business solutions.

Location: Must work from London offices 3 days per week

Company

hirify.global provides an all-in-one business credit card & spend management platform that helps business owners save time and money.

What you will do

  • Own, monitor, and optimize fraud detection rules.
  • Apply advanced analytics to maximize the efficiency of Financial Crime detection processes.
  • Support the launch of new products, balancing fraud and financial crime controls with customer experience.
  • Work with external vendors to evaluate innovative products and tools.
  • Proactively champion the best use of AI to accelerate analytical output.
  • Present and collaborate with stakeholders including Operations, Credit, and Senior Management.

Requirements

  • At least three years of risk analysis experience including credit cards, fraud, or fincrime.
  • Highly analytical and comfortable using SQL and Python.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced environment.
  • Excellent collaboration and communication skills.
  • 2.1 or above at degree level, preferably in Economics or a STEM subject.

Culture & Benefits

  • Private Healthcare including dental and optician services.
  • 28 days holiday (plus bank holidays).
  • Annual Learning and Wellbeing Budget.
  • Enhanced Parental Leave.
  • Free drinks and snacks in the offices.

Hiring process

  • First stage: 30-minute video call with Talent Partner
  • Second stage: 45-minute video call with the Hiring Manager
  • Final stage: 90-minute in-person interview covering technical competencies, culture, and values

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