Solutions - Work Student / Intern at HAWK
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

24 Sep, 25

Salary

0.0

Posted On

25 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Financial Services, Computer Science, Addition, Fintech

Industry

Information Technology/IT

Description

ABOUT US

Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world.

REQUIREMENTS:

  • Currently pursuing an BSC, BEng or Master’s in Computer Science, Engineering or datacentric subject.
  • Ideally, you already gained work experience (preferably in the area of Banking / Financial services, Fintech or Consulting).
  • You are enthusiastic about Fintech in addition to solving critical problems and are curious and analytical with a continuous improvement mindset.
  • You are fluent/native in business-level English.
  • A self-starter who is equally comfortable working independently or collaboratively.
  • Available at least 10 hours per week, full time possible
Responsibilities
  • Improving how we showcase our advanced capabilities to detect financial crime.
  • Improving process efficiency, automation & documentation across the Solutions team
  • Accelerating the integration of our platform with a variety of partners and customer systems
  • Build prototypes to test concepts and illustrate prospective capabilities to customers
  • Analyzing data and presenting findings to the leadership team.
  • Collaborating with cross-functional teams to gather information and conduct experiments.
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