11 beste Stellen als python in kanton waadt – aktuell auf Personalsuche

Financial Crime Analytics Officer
Swissquote Bank —Gland, VD
- 100%
- Informatik
- Englisch
- Master
Direkt bewerben
Senior System Engineer
ELCA Informatique SA —Pully, VD
- 100%
- Englisch
- Windows
- Master
5 Tage
Senior AI Machine Learning Engineer
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
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3 Tage
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adesso Schweiz —Lausanne, VD
- Teilzeit
- Englisch
- Erfahrung in der IT
- Python
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emploi.epfl.ch —Lausanne, VD
- Microsoft Excel
- Englisch
- SQL
- Weiterbildungen
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Harmattan AI —Lausanne, VD
- 100%
- Master
- C++
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Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)
HAYA Therapeutics —Epalinges, VD
- 100%
- Doktorat
- Python
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Electro-Optical Test Engineer (ID:2613)
Ligentec SA —Lausanne, VD
- Homeoffice
- Doktorat
- Englisch
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Senior Cloud Data Engineer
Smile Group —Lausanne, VD
- Hybrides Arbeiten
- Englisch
- SQL
- Bachelor
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Ligentec SA —Lausanne, VD
- Doktorat
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- Master
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Principal/Staff Software Engineer
Nexthink —Lausanne, VD
- 100%
- Management-Erfahrung
- Java
- Master
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Financial Crime Analytics Officer

Swissquote Bank -
Gland, VD

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Französisch
Informatik
Power BI
R
Englisch
Tableau
Master
SQL
Erfahrung in der IT
Betrugsprävention & -erkennung
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

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 +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.

We are all in at Swissquote. As 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

We are looking for a highly motivated Financial Crime Analytics Officer to join our Anti-Fraud & FinCrime Center team. In this role, you will be responsible for developing, enhancing, and monitoring data-driven solutions to detect and prevent fraudulent activities and financial crime.

You will work closely with cross-functional teams including Compliance, Customer Care, and Software Engineering to design scalable models and actionable insights that protect our customers and the business.

This role is part of the First Line of Defense, playing a critical role in proactively identifying, preventing, and mitigating fraud and financial crime risks.

Develop, implement, and optimize data-driven models for fraud detection and prevention (e.g., ATO, APP fraud, money mule accounts, real time and near real time transaction monitoring).
Analyze large datasets to identify suspicious patterns, anomalies, and emerging fraud typologies.
Collaborate with stakeholders to translate business needs into analytical solutions.
Build and maintain dashboards, reports, and KPIs to monitor fraud trends and model performance.
Continuously improve detection strategies, balancing fraud risk and false positives.
Support investigations by providing data insights and analytical support.
Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Document and maintain up-to-date documentation of processes, methodologies, and solutions, ensuring that projects and workflows are clearly understood by colleagues and meet internal and external audit requirements.
Stay up to date with new fraud schemes, regulatory expectations, and industry best practices.

Qualifications

Minimum 2 years of experience in fraud prevention and/or AML within a bank, fintech, or payment services company.
Strong educational background, BS/MS in Computer Science, Mathematics, Statistics, Engineering, or a related field.
Proficiency in SQL and at least one programming language such as Python and/or R.
Experience working with large datasets and building analytical or predictive models.
Knowledge of financial crime typologies (e.g., phishing, account takeover, money mule account).
Excellent communication skills, with the ability to explain complex concepts to non-technical audiences.
Team-oriented with strong collaboration skills.
Strong problem-solving mindset with the ability to work independently and proactively.

Nice to Have

Experience with machine learning techniques applied to fraud detection.
Familiarity with real-time transaction monitoring systems.
Understanding of web traffic and RESTful APIs.
Knowledge of AML/CTF and Fraud regulations.
Experience with data visualization tools (e.g., Tableau, Power BI).

Language Requirements

Fluent English (mandatory)
French and/or German (nice to have)

Additional Information

SQ2

Direkt bewerben

Erweiterte Suche

python Jobs in kanton waadt

Financial Crime Analytics Officer

Senior System Engineer

Senior AI Machine Learning Engineer

(Senior) NetworkEngineer (all genders)

Spécialiste système BI

GNC Engineer

Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)

Electro-Optical Test Engineer (ID:2613)

Senior Cloud Data Engineer

Senior Design Engineer (ID: 2605)

Principal/Staff Software Engineer

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