Support Analyst (German Speaking)

Reposted One Month Ago
Be an Early Applicant
2 Locations
In-Office
3-3 Annually
Mid level
Artificial Intelligence • Machine Learning • Software
The Role
As a Support Analyst, you will provide technical support to customers using the Hawk platform, ensuring smooth user experiences by addressing issues related to rule configuration, user management, and integrations, while collaborating with internal teams for complex troubleshooting.
Summary Generated by Built In

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. 

Your Mission
As Support Analyst, you will serve as the frontline technical and functional expert for customers using the Hawk platform, ensuring a seamless user experience. You will provide expert guidance on rule configuration, user management, workflows, and integration troubleshooting via our ticketing system while collaborating with internal teams to resolve complex issues. We are seeking a proactive problem solver, who can communicate effectively with technical and non-technical stakeholders fluently in German and English and ensure high customer satisfaction.

Your Responsibilities

  • Provide timely, high-quality support for customers via our ticketing system, assisting with rule configuration, user management, workflow optimization, and integrations.

  • Troubleshoot rule behaviour and configuration issues and investigate why alerts trigger (or don’t) and identifying root causes across data, configuration, and platform behaviour.

  • Diagnose, prioritize, and resolve system errors, collaborating with engineers and product teams to identify root causes and implement fixes.

  • Notify customers of incidents, document root cause analyses in collaboration with engineers, and ensure clear communication throughout the resolution process.

  • Work closely with internal teams to resolve complex issues, escalate critical cases, and relay customer feedback for product improvements.

  • Participate professionally in international video conference calls, providing clear, concise explanations of technical issues and solutions to a diverse customer base.

  • Develop comprehensive documentation for both technical and non-technical users, ensuring clarity in troubleshooting steps, platform functionality, and best practices.

  • Apply your understanding of Fraud Prevention, Compliance, and/or Payments Processing to guide customers effectively in a highly regulated and complex environment.

Your Profile

  • 3+ years of experience in technical support, application support, or a customer-facing technical role.

  • Bachelor’s degree in Computer Science, Information Technology, Business, or a related field (or equivalent experience).

  • Strong analytical and troubleshooting skills, with the ability to diagnose issues in SaaS applications.

  • Experience working with ticketing systems (e.g., Zendesk, Jira, ServiceNow) and monitoring tools.

  • Ability to explain complex technical concepts to both technical and non-technical users.

  • Familiarity with financial crime prevention, fraud detection, compliance, or payments processing is highly desirable.

  • Strong verbal and written communication skills, particularly in a customer-facing role.

  • Highly organized, able to prioritize tasks effectively in a fast-paced environment.

  • Comfortable participating in international calls across multiple time zones.

  • German and English fluency

Preferred Qualifications

  • Experience in AML, Fraud Prevention, or Compliance platforms

  • Familiarity with cloud-based platforms, APIs, and integrations

  • Previous experience in a SaaS, FinTech, or RegTech company

Skills Required

  • 3+ years of experience in technical support or customer-facing technical role
  • Bachelor's degree in Computer Science, Information Technology, Business, or related field
  • Strong analytical and troubleshooting skills
  • Experience with ticketing systems (e.g., Zendesk, Jira, ServiceNow)
  • Fluency in German and English
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Paris
88 Employees
Year Founded: 2018

What We Do

Award-winning AML & CFT technology powered by explainable AI increases your risk coverage, helps you identify more crime, and reduces your false positives. Combine AML transaction monitoring, payment screening, and pKYC in one tool & add fraud detection for even more comprehensive coverage.

Similar Jobs

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Architect

Artificial Intelligence • Cloud • Information Technology • Consulting
In-Office or Remote
2 Locations
85422 Employees

Snap Inc. Logo Snap Inc.

Client Partner - 24 month FTC

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
2 Locations
5000 Employees

NinjaOne Logo NinjaOne

Account Executive

Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Hybrid
Berlin, DEU
2000 Employees

Pfizer Logo Pfizer

Staff Software Engineer

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
36 Locations
121990 Employees

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account