Fraud Threat and Forensics Expert

Join to apply for the Fraud Threat and Forensics Expert role at Swissquote

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Join to apply for the Fraud Threat and Forensics Expert role at Swissquote

Company Description

Building the bank of tomorrow takes more than skills.

Company Description

Building the bank of tomorrow takes more than skills.

It means combining our differences to imagine, discuss, code, develop, test, learn… and celebrate every step together. Share our vibes? Join Swissquote to unleash your potential.

We are the Swiss Leader in Online Banking and we provide trading, investing and banking services to +650’000 clients, through our performant and secured digital platforms.

Our +1200 employees work in a flexible way, without dress code and in multicultural teams.

By having a huge impact on the industry, they are growing their skills portfolio and boosting their career in a fast-pace environment. Have a look behind the scenes by checking Humans of Swissquote on Instagram.

We are all in  an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success.

Are you all in? Don’t be shy, apply!



Job Description

As a Fraud Threat and Forensics Expert within the Middle-Office department, you will play a critical role in identifying, analysing, and mitigating financial crime threats through advanced forensic investigations and data-driven insights. Leveraging your expertise in digital forensics, threat intelligence, and data analysis, you will develop, enhance, and maintain cutting-edge Fraud and Anti-Money Laundering (AML) detection solutions. This role involves collaborating with cross-functional teams to design and implement robust detection frameworks, proactively addressing emerging risks, and ensuring the reliability and effectiveness of analytical tools.

By staying ahead of evolving technologies and threat landscapes, you will contribute to strategic decision-making and drive innovation in financial crime prevention.

Threat and forensics management

• Demonstrate the ability to maintain a comprehensive 360-degree view of customer profiles and behaviors by integrating and correlating diverse data sources, such as digital traffic, payment patterns, personal details, and external intelligence, to identify anomalies, detect fraudulent activities, and strengthen financial crime prevention measures.
• Lead the detailed analysis and definition of data requirements within the fraud and financial crime threat intelligence lifecycle, focusing on transforming raw data into actionable insights to optimize detection frameworks, improve risk assessment accuracy, and facilitate the development of targeted mitigation strategies.
• Drive the development and continuous improvement of advanced Fraud and AML detection and prevention solutions.
• Collaborate with IT, software engineering, and data teams to identify, map, and integrate new data sources for enhanced threat detection and forensics capabilities.
• Develop and fine-tune detection rules and models to support proactive threat hunting, anomaly detection, and financial crime mitigation.
• Contribute to the design, implementation, optimization and execution of operational and administrative controls to strengthen fraud defences.
• Facilitate the automation of fraud processes to reduce manual workloads and improve efficiency across workflows. Design and track performance metrics for detection systems, continuously refining KPIs and KRIs to measure effectiveness.
• Create and maintain detailed documentation for detection tools, data flows, and related systems to ensure transparency and consistency.
• Leverage a systematic and analytical approach to problem-solving, demonstrate strong communication and collaboration skills, and take ownership of responsibilities to drive results.

• Assist the team in conducting comprehensive fraud and risk assessments for new business initiatives and support business teams in implementing effective mitigation strategies.
• Ensure that all identified product and customer risks are effectively mapped and mitigated through the detection use case library and the…