Fraud & AML Platform Engineer

Vor 7 Tagen

Gland VD, Waadt, Schweiz Swissquote Bank Vollzeit
About the Role

We are seeking a highly skilled Fraud & AML Platform Engineer to join our team at Swissquote Bank. As a key member of our Middle-Office department, you will play a crucial role in leading the development, testing, and ongoing maintenance of sophisticated Fraud & Anti-Money Laundering (AML) solutions.

Key Responsibilities
  • Lead the development and continuous enhancement of the Fraud & AML platform, collaborating closely with IT and software engineering teams to identify and integrate new data sources.
  • Develop detection rules to facilitate proactive threat hunting and anomaly detection, and assist the team in designing, implementing, and optimizing operational and administrative controls.
  • Automate the execution of fraud and AML controls to minimize manual workload, and develop and maintain comprehensive documentation for related systems and processes.
  • Design and monitor performance metrics for detection tools, and implement and refine KPIs and KRIs, applying a systematic approach to problem solving and demonstrating strong communication skills.
Requirements
  • BS/MS in Computer Science or a related technical field, or equivalent professional experience, with at least 2+ years as a Software/Systems Engineer focused on SIEM-like Fraud, AML, or Security solutions.
  • Strong understanding of web traffic and RESTful APIs, proficient in working with both relational and non-relational databases, and proficient in scripting languages such as Python, Perl, or Bash.
  • Proven experience in reporting and data analytics, with strong skills in data visualization, querying, and interpreting complex datasets to inform business decisions.
  • Excellent communication skills, both oral and written, with the ability to effectively interact with various stakeholders, experts, and third parties, including vendor management.
Preferred Qualifications
  • Experience in roles such as Product Owner and/or Project Manager, with a proven track record of successfully delivering projects of varying scopes and complexities.
  • Ability to apply both expert-driven rules and Machine Learning techniques to detect Fraud and AML scenarios, and keen awareness of market trends and the foresight to anticipate and meet new end-user expectations and demands.
About Swissquote

Swissquote is a bank that doesn't look like one. Located near Geneva and the lake, our Headquarters gathers 600 of our employees: young (34 years old average), multicultural (50 nationalities) and wearing what suits them best. You will find a friendly atmosphere in an open and inclusive environment, with spacious offices, home-office policy, outdoor terrace, sports clubs, and even a real Pub for after-work moments.

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