Fraud & AML Platform Engineer
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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-pace environment
Are you all in? Don’t be shy, apply
As a Fraud & AML Platform Engineer within the 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. In this position, you will collaborate closely with cross-functional teams to define, design, and deliver new features, while also ensuring the applications are performing optimally, maintaining high quality, and responding effectively to threats. Staying current with emerging technologies will be essential, as you will actively contribute to the team's technical decision-making and innovation efforts.
Fraud & AML Platform management
- Lead the development and continuous enhancement of the Fraud & AML platform.
- Collaborate 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.
- Assist the team in designing, implementing, and optimizing operational and administrative controls.
- Automate the execution of fraud and AML controls to minimize manual workload.
- 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.
- Apply a systematic approach to problem solving, demonstrate strong communication skills, and maintain a sense of ownership and drive.
Risk management
- Support the team in conducting fraud and risk assessments for new business projects, and assist business teams in implementing mitigation measures.
- Ensure that any identified product and customer risks are addressed by the capabilities of the Fraud & AML platform.
- Provide assistance and support to clients and partners on fraud-related issues and inquiries.
Fraud Incident Management
- Coordinate with IT/Operations teams in the event of a fraud incident.
- Conduct forensic analysis of fraud incidents.
- Actively participate in all team responsibilities and related activities.
Qualifications
Mandatory
- BS/MS in Computer Science or a related technical field such as IT, physics, mathematics, or electronics, or equivalent professional experience.
- Hands-on experience in system development, integration, and maintenance, 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, with the ability to write and execute complex queries (e.g., ES|QL, SQL).
- Proficiency in scripting languages such as Python, Perl, or Bash is essential; familiarity with programming languages like Java or C++ is an advantage.
- 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.
- Ability to translate complex technical concepts into clear business language.
- Proficient in English;
Preferred
- 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.
- Keen awareness of market trends and the foresight to anticipate and meet new end-user expectations and demands.
- Technical and business knowledge of AML/CTF and Fraud regulations is a plus.
- Knowledge of French;
Bonus for
- Certified Software Engineer and/or Solution Architect (AWS, TOGAF or similar)
- Information Security certificates e.g. CISSP/CISA/GIAC/CEH
- Data Science trainings/certifications
More about Swissquote
A BANK THAT DOESN'T LOOK LIKE ONE
Locatednear Genevaand the lake, our Headquarters gathers600of our employees: young (34 years oldaverage), multicultural (50 nationalities) and wearing what suits them best. You will find a friendly atmosphere in an open and inclusive environment. Spacious offices,home-officepolicy,outdoor terrace,sportsclubsand even... areal Pubfor after-work moments.
SQ2