Swissquote
Trade, invest and bank with Swissquote, the Swiss Leader in Online Banking. Unleash your financial potential with Swiss know-how and sky-scraping execution.
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 +500’000 clients, through our performant and secured digital platforms.
Our +1000 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-paced environment.
Are you all in? Don’t be shy, apply!
Job Description
As a Fraud Threat and Forensics Analyst/Expert within the Middle-Office department, you will play a critical role in identifying, analyzing, 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
* Maintain a comprehensive 360-degree view of customer profiles and behaviors by integrating and correlating diverse data sources 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.
* 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 and anomaly detection.
* Contribute to the design, implementation, optimization, and execution of operational and administrative controls to strengthen fraud defenses.
* Facilitate the automation of fraud processes to reduce manual workloads and improve efficiency.
* Create and maintain detailed documentation for detection tools, data flows, and related systems.
* Design and track performance metrics for detection systems, continuously refining KPIs and KRIs.
* Leverage a systematic and analytical approach to problem-solving and take ownership of responsibilities to drive results.
* Assist the team in conducting comprehensive fraud and risk assessments for new business initiatives.
* Ensure that all identified product and customer risks are effectively mapped and mitigated.
* Conduct threat modeling to identify potential vulnerabilities and design effective countermeasures.
* Provide assistance and support to clients and partners on fraud-related issues and inquiries.
Fraud Incident Management
* Lead the incident response process, including conducting detailed forensic analyses of fraud incidents.
* Collaborate closely with IT and Operations teams to ensure swift and effective resolution of fraud incidents.
* Actively engage in team responsibilities and related activities.
Qualifications
Mandatory
* Bachelor’s or Master’s degree in Data Science, Computer Science, Forensic Accounting, or a related field.
* Extensive experience in reporting and data analytics, with over 5 years of expertise in data visualization and interpreting complex datasets.
* Deep understanding of AML and fraud prevention frameworks with proven hands-on experience in threat modeling and digital forensics.
* Experience with threat intelligence lifecycle, including collection, analysis, and dissemination of actionable intelligence.
* Proficiency in data analysis and visualization tools, including Snowflake, Tableau, or similar.
* Advanced knowledge of data mining and machine learning applications for fraud detection.
* Experience working with relational and non-relational databases, with the ability to write and execute queries.
* Excellent oral and written communication skills.
* Ability to distill and communicate complex technical concepts in clear business language.
* Proficiency in English is mandatory.
Preferred
* Experience in roles such as Product Owner or Project Manager.
* Proven ability to apply both expert-driven rules and machine learning techniques to detect fraud.
* Hands-on experience in the automation of financial crime processes.
* Expertise in internal fraud investigations.
* Strong awareness of market trends.
* Technical and business knowledge of AML/CTF and fraud regulations is an advantage.
* Proficiency in French.
Bonus for
* Certifications in AML or fraud prevention e.g. CAMS, CFE.
* Information Security certificates e.g. CISSP/CISA.
#J-18808-Ljbffr