Fraud Threat and Forensics Expert

ph3Company Description /h3 pBuilding 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. /p pWe 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. /p pOur +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 pace environment. /p h3Job Description /h3 pAs 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. /p h3Responsibilities /h3 ul liDemonstrate 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. /li liLead 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. /li liDrive the development and continuous improvement of advanced Fraud and AML detection and prevention solutions. /li liCollaborate with IT, software engineering, and data teams to identify, map, and integrate new data sources for enhanced threat detection and forensics capabilities. /li liDevelop and fine-tune detection rules and models to support proactive threat hunting, anomaly detection, and financial crime mitigation. /li liContribute to the design, implementation, optimization and execution of operational and administrative controls to strengthen fraud defenses. /li liFacilitate the automation of fraud processes to reduce manual workloads and improve efficiency across workflows. /li liCreate and maintain detailed documentation for detection tools, data flows, and related systems to ensure transparency and consistency. /li liDesign and track performance metrics for detection systems, continuously refining KPIs and KRIs to measure effectiveness. /li liLeverage a systematic and analytical approach to problem-solving, demonstrate strong communication and collaboration skills, and take ownership of responsibilities to drive results. /li /ul h3Risk Management /h3 ul liAssist the team in conducting comprehensive fraud and risk assessments for new business initiatives and support business teams in implementing effective mitigation strategies. /li liEnsure that all identified product and customer risks are effectively mapped and mitigated through the detection use case library and the capabilities of the Fraud AML platform. /li liConduct threat modeling to identify potential vulnerabilities, assess risks, and design effective countermeasures to strengthen the organization’s fraud defenses. /li liProvide assistance and support to clients and partners on fraud-related issues and inquiries. /li /ul h3Fraud Incident Management /h3 ul liLead the incident response process, including conducting detailed forensic analyses of fraud incidents, documenting evidence comprehensively, and ensuring proper reporting and follow-up actions. /li liCollaborate closely with IT and Operations teams to ensure swift and effective resolution of fraud incidents. /li liActively engage in team responsibilities and related activities, contributing to the overall success of the Fraud function. /li /ul h3Qualifications /h3 ul liBachelor's or Master's degree in Data Science, Computer Science, Forensic Accounting, or a related field. /li liExtensive experience in reporting and data analytics, with over 5 years of expertise in data visualization, querying, and interpreting complex datasets to inform and support strategic business decision-making. /li liDeep understanding of AML and fraud prevention frameworks, with proven hands‑on experience in threat modelling, e‑discovery and digital forensics (mandatory). /li liExperience with threat intelligence lifecycle, including collection, analysis, and dissemination of actionable intelligence to identify and mitigate financial crime threats effectively. /li liProficiency in data analysis and visualization tools, including but not limited to Snowflake, Tableau, Elastic Stack or similar. /li liAdvanced knowledge of data mining, visualization, and machine learning applications for fraud detection and risk mitigation. /li liExperience working with both relational and non-relational databases, with the ability to write and execute queries (es|ql, sql), as well as proficiency in scripting languages such as Python, Perl, or Bash (being able to extract the data, manipulate it, write the logic etc.). /li liExcellent oral and written communication skills, with the ability to effectively interact with diverse stakeholders, subject matter experts, and third‑party vendors, including vendor management. /li liAbility to distill and communicate complex technical concepts in clear and actionable business language. /li liProficiency in English is mandatory. /li /ul h3Preferred /h3 ul liExperience in roles such as Product Owner or Project Manager, with a proven track record of successfully delivering projects of varying scope and complexity. /li liProven ability to apply both expert-driven rules and machine learning techniques to detect fraud. /li liHands‑on experience in the automation of financial crime processes to enhance efficiency. /li liExpertise in internal fraud investigations, including prevention and mitigation strategies. /li liStrong awareness of market trends with the ability to anticipate and address evolving end‑user expectations and demands. /li liTechnical and business knowledge of AML/CTF and fraud regulations is an advantage (FINMA, PSD, MAS, HKM etc.). /li liProficiency in French. /li /ul h3Bonus for /h3 ul liCertifications in AML or fraud prevention e.g. CAMS, CFE, CISA /li liInformation Security certificates e.g. CISSP/CISA/GIAC/CEH /li liData Science trainings/certifications /li /ul h3Additional Information /h3 pSQ2 /p /p #J-18808-Ljbffr